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	<entry>
		<id>https://docs.analytica.com/index.php?title=Enhancement_Requests_for_Analytica&amp;diff=19938</id>
		<title>Enhancement Requests for Analytica</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Enhancement_Requests_for_Analytica&amp;diff=19938"/>
		<updated>2011-06-27T18:21:44Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Requests */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===Key for Level of Importance===&lt;br /&gt;
* Kind of cool *&lt;br /&gt;
* Valuable  ** &lt;br /&gt;
* Critical ***&lt;br /&gt;
* I can't use Analytica without it ****&lt;br /&gt;
* I'd pay x for it. $x &lt;br /&gt;
&lt;br /&gt;
(If it's a modification of an existing feature, described in Ana wiki, you might want to add it to that description rather than here.)&lt;br /&gt;
&lt;br /&gt;
===Requests===&lt;br /&gt;
Here's what I would really like to see added to Analytica:&lt;br /&gt;
&lt;br /&gt;
** Optimizer engines available on Analytica Web Player.  This would allow clients to use optimization models  without them having to buy the rather expensive Power Player with Optimizer.&lt;br /&gt;
&lt;br /&gt;
Pierre Richard, richardpr@gmail.com&lt;br /&gt;
&lt;br /&gt;
* PageUp/PageDown shortcut keys to scroll along the X-axis of charts while maintaining the current axis scale. ** OR a full fledged scroll bar. ***&lt;br /&gt;
&lt;br /&gt;
Bob Wimbrow, bwimbrow@sunedison.com&lt;br /&gt;
&lt;br /&gt;
* When learning to use Analytica, I often have to go to the manual, go to the index at the end, look at the page number for the command I want to know about, then get to that page in the manual (which is not the same page as that page in Adobe Reader).  I would like it if there was a command reference that had links for all the commands to the appropriate manual sections. **&lt;br /&gt;
&lt;br /&gt;
Wynship Hillier&lt;br /&gt;
wynship@hotmail.com&lt;br /&gt;
&lt;br /&gt;
** Great suggestion: In the meantime, you may find this useful. Open the PDF User Guide and show the &amp;quot;Function list&amp;quot; page (after &amp;quot;Appendices&amp;quot; in the Outline). This lists all functions (and othe constructs) organized by groups -- e.g. Basic math, Transforming arrays, Control constructs, System variables, Object classes, and parameter qualifiers. Click on the name of any function or construct to jump to the place in the User Guide that explains it. (Alex Graham)&lt;br /&gt;
&lt;br /&gt;
* Possibility to save model diagrams as image-files (PNG etc.): It is possible to save graphs as image-files but not views from models. Now we need to take a screenshot first and then convert it into image-file before we can add it to web-documents. ** --[[User:Jvillman|Jvillman]] 22:39, 27 June 2007 (PDT)&lt;br /&gt;
&lt;br /&gt;
* I've been asking for some time to get improved printing functions. In order to make the models peer-reviewable, there needs to be a simple way to print the entire model in a compact form with a list of each node, its formula, the nodes on which it depends and supports, its indices. Right now the options are really limited and when I print to a PDF it tries to create a new file for every node. [Evan Reis, reis@certuscorp.net]&lt;br /&gt;
&lt;br /&gt;
* An '''Undo History''' function, or at least the possibility of undoing more than just the most recent edit (as it seems to be at present). ** [[User:Jgrellier|Jgrellier]] 01:43, 26 November 2007 (PST)&lt;br /&gt;
&lt;br /&gt;
* When viewing a graph and altering its '''Uncertainty Options''' it would be convenient if there was a '''Preview''' button, which would allow the user to see the result of changing these parameters. * [[User:Jgrellier|Jgrellier]] 09:59, 26 November 2007 (PST)  In fact, it would be nice if the '''Uncertainty options''' were integrated as one or more extra tabs in the Graph setup options, so you can see the results with Preview. [MH]&lt;br /&gt;
&lt;br /&gt;
* Ability to add Data Point Labels within a chart.  This is specifically desired for creating tornado charts where each low/high point is labeled with the input value, but is also useful for many other types of plots.&lt;br /&gt;
&lt;br /&gt;
** If you click on any bar or line in a graph, it shows a popup window with its value (and the value of any of its indexes). [MH]&lt;br /&gt;
&lt;br /&gt;
* Ability for user to see the &amp;quot;description&amp;quot; field (or other fields as the developer selects) when inputting data into an edit table.  This would provide the user an explanation of the data being input without having to go all the way into the variable. --[[User:Cwelch|Cwelch]] 07:15, 20 January 2009 (PST)cwelch@summitblue.com&lt;br /&gt;
&lt;br /&gt;
* It is great that there is a drop-down menu of inputs readily accessed when defining a node.  However, it is limited only to inputs that have had arrows linked to the node.  Many times, however, you know what variable you want to include in a node, but it is not readily accessible in your model (i.e., it might be 4 modules away).  This requires a lot of hunting around for the variable identifier before you can include it in the equation.  It would be great if there were easier access to other variables (not just the ones that have arrows) when defining a node.  It wouldn't necessarily have to be in the same input drop-down menu (which is kind of nice since it limits to # of variables from which to choose).  It could perhaps be an adjacent drop-down menu that has a list of all of the variables in the entire model.  I very often find that I would love to have this feature, as it would save a lot of time when defining expressions within a node.  I recognize there is a &amp;quot;find&amp;quot; option in the &amp;quot;other&amp;quot; section (i.e., the drop-down that allows you to pick whether you want a table, expression, choice, other, etc.), but using it to find a variable doesn't work well, since once you go to a variable and select it, it wipes out anything else you've written in the definition of the node.  --[[User:Cwelch|Cwelch]] 06:56, 25 January 2009 (PST) **&lt;br /&gt;
&lt;br /&gt;
===Requests for features now included===&lt;br /&gt;
&lt;br /&gt;
* I would like to see a function that can do bootstrap estimates of variance for use with a small sample.  I can't seem to find a way of doing that in Analytica. *&lt;br /&gt;
&lt;br /&gt;
Pierre Richard&lt;br /&gt;
richardp@dfo-mpo.gc.ca&lt;br /&gt;
&lt;br /&gt;
** Here's how: [[media:Bootstrapping.ana|Bootstrapping.ana]] (Lonnie)&lt;br /&gt;
&lt;br /&gt;
* I'm not sure why an input node for an index brings the user to the model page, but all other inputs just show the input data. I think it's cleaner and less confusing if the input node for an index would just show, for instance, the list of labels rather than taking you to the model page. --[[User:Cwelch|Cwelch]] 07:18, 20 January 2009 (PST) **&lt;br /&gt;
&lt;br /&gt;
In Analytica 4.2, clicking on List button (input node for Index variable) opens the Object view for the Index, where you can view and modify the List directly.  Note that if an Index I has an input node, and is defined as a List of Numbers or Labels (text), you can add, edit, remove, or reorder items in Index J in an Edit table for any variable indexed by J -- in Browse mode.  [MH]&lt;br /&gt;
* It would be great if you could create a stacked area line graph, rather than just a stacked area bar graph. Bar graphs are a bit too clunky sometimes. Stacked area line graphs are pretty commonly used.  Also, it might be nice to be able to create pie charts as well.  In general, my only real complaint about Analytica is the limited ability to edit graphs -- often times I'll have to export the data into Excel to create a pretty graph, which I'd obviously rather avoid if at all possible. --[[User:Cwelch|Cwelch]] 07:20, 20 January 2009 (PST)&lt;br /&gt;
&lt;br /&gt;
** Stacked area line graphs are available. Double click on Graph to open Graph setup dialog. In the Chart type tab, set the &amp;quot;Stacked&amp;quot; checkbox. You may also set the &amp;quot;Area fill&amp;quot; checkbox. [MH]&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Enhancement_Requests_for_Analytica&amp;diff=19937</id>
		<title>Enhancement Requests for Analytica</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Enhancement_Requests_for_Analytica&amp;diff=19937"/>
		<updated>2011-06-27T18:21:04Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Requests */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;===Key for Level of Importance===&lt;br /&gt;
* Kind of cool *&lt;br /&gt;
* Valuable  ** &lt;br /&gt;
* Critical ***&lt;br /&gt;
* I can't use Analytica without it ****&lt;br /&gt;
* I'd pay x for it. $x &lt;br /&gt;
&lt;br /&gt;
(If it's a modification of an existing feature, described in Ana wiki, you might want to add it to that description rather than here.)&lt;br /&gt;
&lt;br /&gt;
===Requests===&lt;br /&gt;
Here's what I would really like to see added to Analytica:&lt;br /&gt;
&lt;br /&gt;
*** Optimizer engines available on Analytica Web Player.  This would allow clients to use optimization models  without them having to buy the rather expensive Power Player with Optimizer.&lt;br /&gt;
&lt;br /&gt;
Pierre Richard, richardpr@gmail.com&lt;br /&gt;
&lt;br /&gt;
* PageUp/PageDown shortcut keys to scroll along the X-axis of charts while maintaining the current axis scale. ** OR a full fledged scroll bar. ***&lt;br /&gt;
&lt;br /&gt;
Bob Wimbrow, bwimbrow@sunedison.com&lt;br /&gt;
&lt;br /&gt;
* When learning to use Analytica, I often have to go to the manual, go to the index at the end, look at the page number for the command I want to know about, then get to that page in the manual (which is not the same page as that page in Adobe Reader).  I would like it if there was a command reference that had links for all the commands to the appropriate manual sections. **&lt;br /&gt;
&lt;br /&gt;
Wynship Hillier&lt;br /&gt;
wynship@hotmail.com&lt;br /&gt;
&lt;br /&gt;
** Great suggestion: In the meantime, you may find this useful. Open the PDF User Guide and show the &amp;quot;Function list&amp;quot; page (after &amp;quot;Appendices&amp;quot; in the Outline). This lists all functions (and othe constructs) organized by groups -- e.g. Basic math, Transforming arrays, Control constructs, System variables, Object classes, and parameter qualifiers. Click on the name of any function or construct to jump to the place in the User Guide that explains it. (Alex Graham)&lt;br /&gt;
&lt;br /&gt;
* Possibility to save model diagrams as image-files (PNG etc.): It is possible to save graphs as image-files but not views from models. Now we need to take a screenshot first and then convert it into image-file before we can add it to web-documents. ** --[[User:Jvillman|Jvillman]] 22:39, 27 June 2007 (PDT)&lt;br /&gt;
&lt;br /&gt;
* I've been asking for some time to get improved printing functions. In order to make the models peer-reviewable, there needs to be a simple way to print the entire model in a compact form with a list of each node, its formula, the nodes on which it depends and supports, its indices. Right now the options are really limited and when I print to a PDF it tries to create a new file for every node. [Evan Reis, reis@certuscorp.net]&lt;br /&gt;
&lt;br /&gt;
* An '''Undo History''' function, or at least the possibility of undoing more than just the most recent edit (as it seems to be at present). ** [[User:Jgrellier|Jgrellier]] 01:43, 26 November 2007 (PST)&lt;br /&gt;
&lt;br /&gt;
* When viewing a graph and altering its '''Uncertainty Options''' it would be convenient if there was a '''Preview''' button, which would allow the user to see the result of changing these parameters. * [[User:Jgrellier|Jgrellier]] 09:59, 26 November 2007 (PST)  In fact, it would be nice if the '''Uncertainty options''' were integrated as one or more extra tabs in the Graph setup options, so you can see the results with Preview. [MH]&lt;br /&gt;
&lt;br /&gt;
* Ability to add Data Point Labels within a chart.  This is specifically desired for creating tornado charts where each low/high point is labeled with the input value, but is also useful for many other types of plots.&lt;br /&gt;
&lt;br /&gt;
** If you click on any bar or line in a graph, it shows a popup window with its value (and the value of any of its indexes). [MH]&lt;br /&gt;
&lt;br /&gt;
* Ability for user to see the &amp;quot;description&amp;quot; field (or other fields as the developer selects) when inputting data into an edit table.  This would provide the user an explanation of the data being input without having to go all the way into the variable. --[[User:Cwelch|Cwelch]] 07:15, 20 January 2009 (PST)cwelch@summitblue.com&lt;br /&gt;
&lt;br /&gt;
* It is great that there is a drop-down menu of inputs readily accessed when defining a node.  However, it is limited only to inputs that have had arrows linked to the node.  Many times, however, you know what variable you want to include in a node, but it is not readily accessible in your model (i.e., it might be 4 modules away).  This requires a lot of hunting around for the variable identifier before you can include it in the equation.  It would be great if there were easier access to other variables (not just the ones that have arrows) when defining a node.  It wouldn't necessarily have to be in the same input drop-down menu (which is kind of nice since it limits to # of variables from which to choose).  It could perhaps be an adjacent drop-down menu that has a list of all of the variables in the entire model.  I very often find that I would love to have this feature, as it would save a lot of time when defining expressions within a node.  I recognize there is a &amp;quot;find&amp;quot; option in the &amp;quot;other&amp;quot; section (i.e., the drop-down that allows you to pick whether you want a table, expression, choice, other, etc.), but using it to find a variable doesn't work well, since once you go to a variable and select it, it wipes out anything else you've written in the definition of the node.  --[[User:Cwelch|Cwelch]] 06:56, 25 January 2009 (PST) **&lt;br /&gt;
&lt;br /&gt;
===Requests for features now included===&lt;br /&gt;
&lt;br /&gt;
* I would like to see a function that can do bootstrap estimates of variance for use with a small sample.  I can't seem to find a way of doing that in Analytica. *&lt;br /&gt;
&lt;br /&gt;
Pierre Richard&lt;br /&gt;
richardp@dfo-mpo.gc.ca&lt;br /&gt;
&lt;br /&gt;
** Here's how: [[media:Bootstrapping.ana|Bootstrapping.ana]] (Lonnie)&lt;br /&gt;
&lt;br /&gt;
* I'm not sure why an input node for an index brings the user to the model page, but all other inputs just show the input data. I think it's cleaner and less confusing if the input node for an index would just show, for instance, the list of labels rather than taking you to the model page. --[[User:Cwelch|Cwelch]] 07:18, 20 January 2009 (PST) **&lt;br /&gt;
&lt;br /&gt;
In Analytica 4.2, clicking on List button (input node for Index variable) opens the Object view for the Index, where you can view and modify the List directly.  Note that if an Index I has an input node, and is defined as a List of Numbers or Labels (text), you can add, edit, remove, or reorder items in Index J in an Edit table for any variable indexed by J -- in Browse mode.  [MH]&lt;br /&gt;
* It would be great if you could create a stacked area line graph, rather than just a stacked area bar graph. Bar graphs are a bit too clunky sometimes. Stacked area line graphs are pretty commonly used.  Also, it might be nice to be able to create pie charts as well.  In general, my only real complaint about Analytica is the limited ability to edit graphs -- often times I'll have to export the data into Excel to create a pretty graph, which I'd obviously rather avoid if at all possible. --[[User:Cwelch|Cwelch]] 07:20, 20 January 2009 (PST)&lt;br /&gt;
&lt;br /&gt;
** Stacked area line graphs are available. Double click on Graph to open Graph setup dialog. In the Chart type tab, set the &amp;quot;Stacked&amp;quot; checkbox. You may also set the &amp;quot;Area fill&amp;quot; checkbox. [MH]&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6545</id>
		<title>Example Models</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6545"/>
		<updated>2007-10-09T02:42:20Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Total Allowable Harvest */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[category:Doc Status D]]&lt;br /&gt;
&lt;br /&gt;
The Wiki pages here provide a repository for Analytica models and libraries.  Supplementary material may be included here describing the model, its usage, etc.  Models or libraries may be contributed because they are useful for particular applications, provide a starting point for certain modeling tasks, demonstrate an Analytica concept, etc.  &lt;br /&gt;
&lt;br /&gt;
Several dozen models are included with the Analytica distribution, installed onto your machine when you install Analytica.  These models are not also here on the Wiki yet, but may be added in the future.  Furthermore, as updates to these models occur, more recent versions will be made available here.&lt;br /&gt;
&lt;br /&gt;
Analytica users may also contribute their own models and examples here.  For instructions on how to upload your own contributions, see [[Uploading Example Models]].&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Grant Exclusion Model =&lt;br /&gt;
&lt;br /&gt;
[[Media:Grant_exclusion.ANA|Grant Exclusion]]&lt;br /&gt;
&lt;br /&gt;
This model tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.  It could be used by an organization to make decisions as to whether to fiscally-sponsor another organization that will use that fiscal sponsorship to apply for grants, by looking at the effect on the pool of grant recipients overall.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Donor/Presenter Dashboard =&lt;br /&gt;
&lt;br /&gt;
[[Media:Donor_Presenter_Dashboard_II.ANA|Donor-Presenter Dashboard]]&lt;br /&gt;
&lt;br /&gt;
This model implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.&lt;br /&gt;
&lt;br /&gt;
It can be used by an arts organization to probabilistically forecast future audience evolution, in both the short and the long (steady state) term.  It also allows for uncertainty in the input parameters.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Project Planner =&lt;br /&gt;
&lt;br /&gt;
'''Download:''' [[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]&lt;br /&gt;
&lt;br /&gt;
A demo model that shows how to:&lt;br /&gt;
* Evaluate a set of R&amp;amp;D projects, including uncertain R&amp;amp;D costs, and uncertain revenues if it leads to release of a commercial product.&lt;br /&gt;
* Use multiattribute analysis to compare projects, including a hard attribute -- expected net present value -- and soft attributes -- strategic fit, staff development, and public good will.&lt;br /&gt;
* Compare cost, NPV, and multiattribute value for a selected portfolio of projects.&lt;br /&gt;
* Generate the best portfolio (ratio of NPV or multiattribute merit to cost) given a R&amp;amp;D budget.&lt;br /&gt;
&lt;br /&gt;
[[Image: Project planner model.png |500px]]&lt;br /&gt;
&lt;br /&gt;
This link is only a test, and to an older version:&lt;br /&gt;
&amp;lt;link&lt;br /&gt;
target=&amp;quot;blank&amp;quot;&amp;gt;http://lumina.com/wiki/images/4/43/Project_priorities_2007_4.0.ANA&amp;lt;/link&amp;gt;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= California Power Plants =&lt;br /&gt;
&lt;br /&gt;
A model that demonstrates the use of [[Choice|choice pulldowns]] in edit tables.  The model is created during a mini-tutorial on [[Inserting_Choice_Controls_in_Edit_Table_Cells]] elsewhere on this Wiki.&lt;br /&gt;
&lt;br /&gt;
[[Media:California_Power_Plants.ANA]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Dependency Tracker Module =&lt;br /&gt;
&lt;br /&gt;
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.  You can also use it to provide a visual indication of which nodes are downstream (or upstream) from an indicated variable.&lt;br /&gt;
&lt;br /&gt;
The module contains button scripts that change the bevel appearance of nodes in your model.  To see how Variable X influences Variable Y, the script will bevel the nodes for all variables that are influenced by X and influence Y.  Alternatively, you can bevel all nodes that are influenced by X, or you can bevel all nodes that influence Y.&lt;br /&gt;
&lt;br /&gt;
[[image:Dependency tracker.jpg]]&lt;br /&gt;
&lt;br /&gt;
In the image above, the path from dp_ex_2 through dp_ex_4 has been highlight using the bevel style of the nodes.  (The result of pressing the &amp;quot;Bevel all from Ancestor to Descendant&amp;quot; button)&lt;br /&gt;
&lt;br /&gt;
[[media:Dependency_Tracker.ANA | Dependency_Tracker.ana]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Total Allowable Harvest  =&lt;br /&gt;
&lt;br /&gt;
The problem applies to any population of fish or animal whose dynamics are poorly known but can be summarized in a simple model:&lt;br /&gt;
&lt;br /&gt;
N_t+1 = N_t*Lambda - landed catch*(1+loss rate)&lt;br /&gt;
&lt;br /&gt;
where N_t is the population size (number of individuals) at time t, N_t+1 is the population size at time t+1, Lambda is the intrinsic rate of increase and the loss rate is the percentage of fish or animals killed but not retrieved relative to the landed catch, or catch secured.&lt;br /&gt;
&lt;br /&gt;
The question here is to determine how many fish or animals can be caught (landed) annually so that the probability of the population declining X%  in Y years (decline threshold) is less than Z% (risk tolerance).  &lt;br /&gt;
&lt;br /&gt;
Two models are available for download.  One uses the Optimizer ([[NlpDefine]]) to find the maximum landed catch at the risk tolerance level for the given decline threshold.  The other (for those using a version of Analytica without Optimizer) uses [[StepInterp]] in an iterative way to get that maximum landed catch.    &lt;br /&gt;
&lt;br /&gt;
* [[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]]&lt;br /&gt;
* [[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Models contributed by Pierre Richard&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6544</id>
		<title>Example Models</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6544"/>
		<updated>2007-10-09T02:30:48Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Total Allowable Harvest  */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[category:Doc Status D]]&lt;br /&gt;
&lt;br /&gt;
The Wiki pages here provide a repository for Analytica models and libraries.  Supplementary material may be included here describing the model, its usage, etc.  Models or libraries may be contributed because they are useful for particular applications, provide a starting point for certain modeling tasks, demonstrate an Analytica concept, etc.  &lt;br /&gt;
&lt;br /&gt;
Several dozen models are included with the Analytica distribution, installed onto your machine when you install Analytica.  These models are not also here on the Wiki yet, but may be added in the future.  Furthermore, as updates to these models occur, more recent versions will be made available here.&lt;br /&gt;
&lt;br /&gt;
Analytica users may also contribute their own models and examples here.  For instructions on how to upload your own contributions, see [[Uploading Example Models]].&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Grant Exclusion Model =&lt;br /&gt;
&lt;br /&gt;
[[Media:Grant_exclusion.ANA|Grant Exclusion]]&lt;br /&gt;
&lt;br /&gt;
This model tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.  It could be used by an organization to make decisions as to whether to fiscally-sponsor another organization that will use that fiscal sponsorship to apply for grants, by looking at the effect on the pool of grant recipients overall.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Donor/Presenter Dashboard =&lt;br /&gt;
&lt;br /&gt;
[[Media:Donor_Presenter_Dashboard_II.ANA|Donor-Presenter Dashboard]]&lt;br /&gt;
&lt;br /&gt;
This model implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.&lt;br /&gt;
&lt;br /&gt;
It can be used by an arts organization to probabilistically forecast future audience evolution, in both the short and the long (steady state) term.  It also allows for uncertainty in the input parameters.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Project Planner =&lt;br /&gt;
&lt;br /&gt;
'''Download:''' [[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]&lt;br /&gt;
&lt;br /&gt;
A demo model that shows how to:&lt;br /&gt;
* Evaluate a set of R&amp;amp;D projects, including uncertain R&amp;amp;D costs, and uncertain revenues if it leads to release of a commercial product.&lt;br /&gt;
* Use multiattribute analysis to compare projects, including a hard attribute -- expected net present value -- and soft attributes -- strategic fit, staff development, and public good will.&lt;br /&gt;
* Compare cost, NPV, and multiattribute value for a selected portfolio of projects.&lt;br /&gt;
* Generate the best portfolio (ratio of NPV or multiattribute merit to cost) given a R&amp;amp;D budget.&lt;br /&gt;
&lt;br /&gt;
[[Image: Project planner model.png |500px]]&lt;br /&gt;
&lt;br /&gt;
This link is only a test, and to an older version:&lt;br /&gt;
&amp;lt;link&lt;br /&gt;
target=&amp;quot;blank&amp;quot;&amp;gt;http://lumina.com/wiki/images/4/43/Project_priorities_2007_4.0.ANA&amp;lt;/link&amp;gt;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= California Power Plants =&lt;br /&gt;
&lt;br /&gt;
A model that demonstrates the use of [[Choice|choice pulldowns]] in edit tables.  The model is created during a mini-tutorial on [[Inserting_Choice_Controls_in_Edit_Table_Cells]] elsewhere on this Wiki.&lt;br /&gt;
&lt;br /&gt;
[[Media:California_Power_Plants.ANA]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Dependency Tracker Module =&lt;br /&gt;
&lt;br /&gt;
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.  You can also use it to provide a visual indication of which nodes are downstream (or upstream) from an indicated variable.&lt;br /&gt;
&lt;br /&gt;
The module contains button scripts that change the bevel appearance of nodes in your model.  To see how Variable X influences Variable Y, the script will bevel the nodes for all variables that are influenced by X and influence Y.  Alternatively, you can bevel all nodes that are influenced by X, or you can bevel all nodes that influence Y.&lt;br /&gt;
&lt;br /&gt;
[[image:Dependency tracker.jpg]]&lt;br /&gt;
&lt;br /&gt;
In the image above, the path from dp_ex_2 through dp_ex_4 has been highlight using the bevel style of the nodes.  (The result of pressing the &amp;quot;Bevel all from Ancestor to Descendant&amp;quot; button)&lt;br /&gt;
&lt;br /&gt;
[[media:Dependency_Tracker.ANA | Dependency_Tracker.ana]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Total Allowable Harvest  =&lt;br /&gt;
&lt;br /&gt;
The problem applies to any population of fish or animal whose dynamics are poorly known but can be summarized in a simple model:&lt;br /&gt;
&lt;br /&gt;
N_t+1 = N_t*Lambda - landed catch*(1+loss rate)&lt;br /&gt;
&lt;br /&gt;
where N_t is the population size (number of individuals) at time t, N_t+1 is the population size at time t+1, Lambda is the intrinsic rate of increase and the loss rate is the percentage of fish or animals killed but not retrieved relative to the landed catch, or catch secured.&lt;br /&gt;
&lt;br /&gt;
The question here is to determine how many fish or animals can be caught (landed) annually so that the probability of the population declining X%  in Y years (decline threshold) is less than Z% (risk tolerance).  &lt;br /&gt;
&lt;br /&gt;
Two models are available for download.  One uses the Optimizer ([[NlpDefine]]) to find the maximum landed catch that .  The other (for those using a version of Analytica without Optimizer) uses [[StepInterp]] in an iterative way to get the maximum landed catch.    &lt;br /&gt;
&lt;br /&gt;
* [[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]]&lt;br /&gt;
* [[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Models contributed by Pierre Richard&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6543</id>
		<title>Example Models</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6543"/>
		<updated>2007-10-09T02:21:36Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Total Allowable Harvest from a population of uncertain size, growth rate, in a fishery of uncertain */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[category:Doc Status D]]&lt;br /&gt;
&lt;br /&gt;
The Wiki pages here provide a repository for Analytica models and libraries.  Supplementary material may be included here describing the model, its usage, etc.  Models or libraries may be contributed because they are useful for particular applications, provide a starting point for certain modeling tasks, demonstrate an Analytica concept, etc.  &lt;br /&gt;
&lt;br /&gt;
Several dozen models are included with the Analytica distribution, installed onto your machine when you install Analytica.  These models are not also here on the Wiki yet, but may be added in the future.  Furthermore, as updates to these models occur, more recent versions will be made available here.&lt;br /&gt;
&lt;br /&gt;
Analytica users may also contribute their own models and examples here.  For instructions on how to upload your own contributions, see [[Uploading Example Models]].&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Grant Exclusion Model =&lt;br /&gt;
&lt;br /&gt;
[[Media:Grant_exclusion.ANA|Grant Exclusion]]&lt;br /&gt;
&lt;br /&gt;
This model tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.  It could be used by an organization to make decisions as to whether to fiscally-sponsor another organization that will use that fiscal sponsorship to apply for grants, by looking at the effect on the pool of grant recipients overall.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Donor/Presenter Dashboard =&lt;br /&gt;
&lt;br /&gt;
[[Media:Donor_Presenter_Dashboard_II.ANA|Donor-Presenter Dashboard]]&lt;br /&gt;
&lt;br /&gt;
This model implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.&lt;br /&gt;
&lt;br /&gt;
It can be used by an arts organization to probabilistically forecast future audience evolution, in both the short and the long (steady state) term.  It also allows for uncertainty in the input parameters.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Project Planner =&lt;br /&gt;
&lt;br /&gt;
'''Download:''' [[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]&lt;br /&gt;
&lt;br /&gt;
A demo model that shows how to:&lt;br /&gt;
* Evaluate a set of R&amp;amp;D projects, including uncertain R&amp;amp;D costs, and uncertain revenues if it leads to release of a commercial product.&lt;br /&gt;
* Use multiattribute analysis to compare projects, including a hard attribute -- expected net present value -- and soft attributes -- strategic fit, staff development, and public good will.&lt;br /&gt;
* Compare cost, NPV, and multiattribute value for a selected portfolio of projects.&lt;br /&gt;
* Generate the best portfolio (ratio of NPV or multiattribute merit to cost) given a R&amp;amp;D budget.&lt;br /&gt;
&lt;br /&gt;
[[Image: Project planner model.png |500px]]&lt;br /&gt;
&lt;br /&gt;
This link is only a test, and to an older version:&lt;br /&gt;
&amp;lt;link&lt;br /&gt;
target=&amp;quot;blank&amp;quot;&amp;gt;http://lumina.com/wiki/images/4/43/Project_priorities_2007_4.0.ANA&amp;lt;/link&amp;gt;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= California Power Plants =&lt;br /&gt;
&lt;br /&gt;
A model that demonstrates the use of [[Choice|choice pulldowns]] in edit tables.  The model is created during a mini-tutorial on [[Inserting_Choice_Controls_in_Edit_Table_Cells]] elsewhere on this Wiki.&lt;br /&gt;
&lt;br /&gt;
[[Media:California_Power_Plants.ANA]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Dependency Tracker Module =&lt;br /&gt;
&lt;br /&gt;
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.  You can also use it to provide a visual indication of which nodes are downstream (or upstream) from an indicated variable.&lt;br /&gt;
&lt;br /&gt;
The module contains button scripts that change the bevel appearance of nodes in your model.  To see how Variable X influences Variable Y, the script will bevel the nodes for all variables that are influenced by X and influence Y.  Alternatively, you can bevel all nodes that are influenced by X, or you can bevel all nodes that influence Y.&lt;br /&gt;
&lt;br /&gt;
[[image:Dependency tracker.jpg]]&lt;br /&gt;
&lt;br /&gt;
In the image above, the path from dp_ex_2 through dp_ex_4 has been highlight using the bevel style of the nodes.  (The result of pressing the &amp;quot;Bevel all from Ancestor to Descendant&amp;quot; button)&lt;br /&gt;
&lt;br /&gt;
[[media:Dependency_Tracker.ANA | Dependency_Tracker.ana]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Total Allowable Harvest from a population of uncertain size, growth rate, in a fishery of uncertain =&lt;br /&gt;
&lt;br /&gt;
The problem applies to any population of fish or animal whose dynamics are poorly known but can be summarized in a simple model:&lt;br /&gt;
&lt;br /&gt;
N_t+1 = N_t*Lambda - landed catch*(1+loss rate).&lt;br /&gt;
&lt;br /&gt;
The question here is to determine how many fish or animal can be caught (landed) annually so that the probability of the population declining X% in Y years (decline threshold) is less than Z% (risk tolerance).  For example, in the example models given:&lt;br /&gt;
&lt;br /&gt;
 P( 10% decline in 10 years) &amp;lt;= 10%&lt;br /&gt;
&lt;br /&gt;
Two models are available for download.  One uses the Optimizer ([[NlpDefine]]) to find the maximum landed catch that .  The other (for those using a version of Analytica without Optimizer) uses [[StepInterp]] in an iterative way to get the maximum landed catch.    &lt;br /&gt;
&lt;br /&gt;
* [[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]]&lt;br /&gt;
* [[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Models were contributed by Pierre Richard, Department of Fisheries and Oceans Canada, Winnipeg&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6542</id>
		<title>Example Models</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6542"/>
		<updated>2007-10-09T02:20:37Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Total Allowable Harvest from a population of uncertain size, growth rate, in a fishery of uncertain */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[category:Doc Status D]]&lt;br /&gt;
&lt;br /&gt;
The Wiki pages here provide a repository for Analytica models and libraries.  Supplementary material may be included here describing the model, its usage, etc.  Models or libraries may be contributed because they are useful for particular applications, provide a starting point for certain modeling tasks, demonstrate an Analytica concept, etc.  &lt;br /&gt;
&lt;br /&gt;
Several dozen models are included with the Analytica distribution, installed onto your machine when you install Analytica.  These models are not also here on the Wiki yet, but may be added in the future.  Furthermore, as updates to these models occur, more recent versions will be made available here.&lt;br /&gt;
&lt;br /&gt;
Analytica users may also contribute their own models and examples here.  For instructions on how to upload your own contributions, see [[Uploading Example Models]].&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Grant Exclusion Model =&lt;br /&gt;
&lt;br /&gt;
[[Media:Grant_exclusion.ANA|Grant Exclusion]]&lt;br /&gt;
&lt;br /&gt;
This model tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.  It could be used by an organization to make decisions as to whether to fiscally-sponsor another organization that will use that fiscal sponsorship to apply for grants, by looking at the effect on the pool of grant recipients overall.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Donor/Presenter Dashboard =&lt;br /&gt;
&lt;br /&gt;
[[Media:Donor_Presenter_Dashboard_II.ANA|Donor-Presenter Dashboard]]&lt;br /&gt;
&lt;br /&gt;
This model implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.&lt;br /&gt;
&lt;br /&gt;
It can be used by an arts organization to probabilistically forecast future audience evolution, in both the short and the long (steady state) term.  It also allows for uncertainty in the input parameters.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Project Planner =&lt;br /&gt;
&lt;br /&gt;
'''Download:''' [[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]&lt;br /&gt;
&lt;br /&gt;
A demo model that shows how to:&lt;br /&gt;
* Evaluate a set of R&amp;amp;D projects, including uncertain R&amp;amp;D costs, and uncertain revenues if it leads to release of a commercial product.&lt;br /&gt;
* Use multiattribute analysis to compare projects, including a hard attribute -- expected net present value -- and soft attributes -- strategic fit, staff development, and public good will.&lt;br /&gt;
* Compare cost, NPV, and multiattribute value for a selected portfolio of projects.&lt;br /&gt;
* Generate the best portfolio (ratio of NPV or multiattribute merit to cost) given a R&amp;amp;D budget.&lt;br /&gt;
&lt;br /&gt;
[[Image: Project planner model.png |500px]]&lt;br /&gt;
&lt;br /&gt;
This link is only a test, and to an older version:&lt;br /&gt;
&amp;lt;link&lt;br /&gt;
target=&amp;quot;blank&amp;quot;&amp;gt;http://lumina.com/wiki/images/4/43/Project_priorities_2007_4.0.ANA&amp;lt;/link&amp;gt;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= California Power Plants =&lt;br /&gt;
&lt;br /&gt;
A model that demonstrates the use of [[Choice|choice pulldowns]] in edit tables.  The model is created during a mini-tutorial on [[Inserting_Choice_Controls_in_Edit_Table_Cells]] elsewhere on this Wiki.&lt;br /&gt;
&lt;br /&gt;
[[Media:California_Power_Plants.ANA]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Dependency Tracker Module =&lt;br /&gt;
&lt;br /&gt;
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.  You can also use it to provide a visual indication of which nodes are downstream (or upstream) from an indicated variable.&lt;br /&gt;
&lt;br /&gt;
The module contains button scripts that change the bevel appearance of nodes in your model.  To see how Variable X influences Variable Y, the script will bevel the nodes for all variables that are influenced by X and influence Y.  Alternatively, you can bevel all nodes that are influenced by X, or you can bevel all nodes that influence Y.&lt;br /&gt;
&lt;br /&gt;
[[image:Dependency tracker.jpg]]&lt;br /&gt;
&lt;br /&gt;
In the image above, the path from dp_ex_2 through dp_ex_4 has been highlight using the bevel style of the nodes.  (The result of pressing the &amp;quot;Bevel all from Ancestor to Descendant&amp;quot; button)&lt;br /&gt;
&lt;br /&gt;
[[media:Dependency_Tracker.ANA | Dependency_Tracker.ana]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Total Allowable Harvest from a population of uncertain size, growth rate, in a fishery of uncertain =&lt;br /&gt;
&lt;br /&gt;
The problem applies to any population of fish or animal whose dynamics are poorly known but can be summarized in a simple model:&lt;br /&gt;
&lt;br /&gt;
N_t+1 = Nt*Lambda - landed catch*(1+loss rate).&lt;br /&gt;
&lt;br /&gt;
The question here is to determine how many fish or animal can be caught (landed) annually so that the probability of the population declining X% in Y years (decline threshold) is less than Z% (risk tolerance).  For example, in the example models given:&lt;br /&gt;
&lt;br /&gt;
 P( 10% decline in 10 years) &amp;lt;= 10%&lt;br /&gt;
&lt;br /&gt;
Two models are available for download.  One uses the Optimizer ([[NlpDefine]]) to find the maximum landed catch that .  The other (for those using a version of Analytica without Optimizer) uses [[StepInterp]] in an iterative way to get the maximum landed catch.    &lt;br /&gt;
&lt;br /&gt;
* [[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]]&lt;br /&gt;
* [[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Models were contributed by Pierre Richard, Department of Fisheries and Oceans Canada, Winnipeg&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6541</id>
		<title>Example Models</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Example_Models&amp;diff=6541"/>
		<updated>2007-10-09T02:19:07Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Total Allowable Harvest */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[category:Doc Status D]]&lt;br /&gt;
&lt;br /&gt;
The Wiki pages here provide a repository for Analytica models and libraries.  Supplementary material may be included here describing the model, its usage, etc.  Models or libraries may be contributed because they are useful for particular applications, provide a starting point for certain modeling tasks, demonstrate an Analytica concept, etc.  &lt;br /&gt;
&lt;br /&gt;
Several dozen models are included with the Analytica distribution, installed onto your machine when you install Analytica.  These models are not also here on the Wiki yet, but may be added in the future.  Furthermore, as updates to these models occur, more recent versions will be made available here.&lt;br /&gt;
&lt;br /&gt;
Analytica users may also contribute their own models and examples here.  For instructions on how to upload your own contributions, see [[Uploading Example Models]].&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Grant Exclusion Model =&lt;br /&gt;
&lt;br /&gt;
[[Media:Grant_exclusion.ANA|Grant Exclusion]]&lt;br /&gt;
&lt;br /&gt;
This model tests a hypothesis about the distribution of an attribute of the marginal rejectee of a grant program, given the relevance of that attribute to award of the grant.  It could be used by an organization to make decisions as to whether to fiscally-sponsor another organization that will use that fiscal sponsorship to apply for grants, by looking at the effect on the pool of grant recipients overall.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
= Donor/Presenter Dashboard =&lt;br /&gt;
&lt;br /&gt;
[[Media:Donor_Presenter_Dashboard_II.ANA|Donor-Presenter Dashboard]]&lt;br /&gt;
&lt;br /&gt;
This model implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment.  It supports immigration to, and emigration from, every node.&lt;br /&gt;
&lt;br /&gt;
It can be used by an arts organization to probabilistically forecast future audience evolution, in both the short and the long (steady state) term.  It also allows for uncertainty in the input parameters.&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Project Planner =&lt;br /&gt;
&lt;br /&gt;
'''Download:''' [[Media:Project Priorities 5 0.ana|Project Priorities 5 0.ana]]&lt;br /&gt;
&lt;br /&gt;
A demo model that shows how to:&lt;br /&gt;
* Evaluate a set of R&amp;amp;D projects, including uncertain R&amp;amp;D costs, and uncertain revenues if it leads to release of a commercial product.&lt;br /&gt;
* Use multiattribute analysis to compare projects, including a hard attribute -- expected net present value -- and soft attributes -- strategic fit, staff development, and public good will.&lt;br /&gt;
* Compare cost, NPV, and multiattribute value for a selected portfolio of projects.&lt;br /&gt;
* Generate the best portfolio (ratio of NPV or multiattribute merit to cost) given a R&amp;amp;D budget.&lt;br /&gt;
&lt;br /&gt;
[[Image: Project planner model.png |500px]]&lt;br /&gt;
&lt;br /&gt;
This link is only a test, and to an older version:&lt;br /&gt;
&amp;lt;link&lt;br /&gt;
target=&amp;quot;blank&amp;quot;&amp;gt;http://lumina.com/wiki/images/4/43/Project_priorities_2007_4.0.ANA&amp;lt;/link&amp;gt;&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= California Power Plants =&lt;br /&gt;
&lt;br /&gt;
A model that demonstrates the use of [[Choice|choice pulldowns]] in edit tables.  The model is created during a mini-tutorial on [[Inserting_Choice_Controls_in_Edit_Table_Cells]] elsewhere on this Wiki.&lt;br /&gt;
&lt;br /&gt;
[[Media:California_Power_Plants.ANA]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Dependency Tracker Module =&lt;br /&gt;
&lt;br /&gt;
This module tracks dependencies through your model, updating the visual appearance of nodes so that you can quickly visualize the paths by which one variable influences another.  You can also use it to provide a visual indication of which nodes are downstream (or upstream) from an indicated variable.&lt;br /&gt;
&lt;br /&gt;
The module contains button scripts that change the bevel appearance of nodes in your model.  To see how Variable X influences Variable Y, the script will bevel the nodes for all variables that are influenced by X and influence Y.  Alternatively, you can bevel all nodes that are influenced by X, or you can bevel all nodes that influence Y.&lt;br /&gt;
&lt;br /&gt;
[[image:Dependency tracker.jpg]]&lt;br /&gt;
&lt;br /&gt;
In the image above, the path from dp_ex_2 through dp_ex_4 has been highlight using the bevel style of the nodes.  (The result of pressing the &amp;quot;Bevel all from Ancestor to Descendant&amp;quot; button)&lt;br /&gt;
&lt;br /&gt;
[[media:Dependency_Tracker.ANA | Dependency_Tracker.ana]]&lt;br /&gt;
&lt;br /&gt;
----&lt;br /&gt;
&lt;br /&gt;
= Total Allowable Harvest from a population of uncertain size, growth rate, in a fishery of uncertain =&lt;br /&gt;
&lt;br /&gt;
The problem applies to any population of fish or animal whose dynamics are poorly known but can be summarized in a simple model:&lt;br /&gt;
&lt;br /&gt;
N_t+1 = Nt*Lambda - landed catch*(1+loss rate).&lt;br /&gt;
&lt;br /&gt;
The question here is to determine how many fish or animal can be caught (landed) annually so that the probability of the population declining X% in Y years (decline threshold) is less than Y% (risk tolerance).  For example, in the example models given:&lt;br /&gt;
&lt;br /&gt;
 P( 10% decline in 10 years) &amp;lt;= 10%&lt;br /&gt;
&lt;br /&gt;
Two models are available for download.  One uses the Optimizer ([[NlpDefine]]) to find the maximum landed catch that .  The other (for those using a version of Analytica without Optimizer) uses [[StepInterp]] in an iterative way to get the maximum landed catch.    &lt;br /&gt;
&lt;br /&gt;
* [[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]]&lt;br /&gt;
* [[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]]&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Models were contributed by Pierre Richard, Department of Fisheries and Oceans Canada, Winnipeg&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Enhancement_Requests_for_Analytica&amp;diff=4598</id>
		<title>Enhancement Requests for Analytica</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Enhancement_Requests_for_Analytica&amp;diff=4598"/>
		<updated>2007-06-06T00:11:53Z</updated>

		<summary type="html">&lt;p&gt;Prichard: /* Key for Level of Importance */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Here's what I would really like to see added to Analytica. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
===Key for Level of Importance===&lt;br /&gt;
* Kind of cool *&lt;br /&gt;
* Valuable  ** &lt;br /&gt;
* Critical ***&lt;br /&gt;
* I can't use Analytica without it ****&lt;br /&gt;
* I'd pay x for it. $x &lt;br /&gt;
&lt;br /&gt;
(If it's a modification of an existing feature, described in Ana wiki, you might want to add it to that description rather than here.)&lt;br /&gt;
&lt;br /&gt;
** I would like to see a function that can do bootstrap estimates of variance for use with a small sample.  I can't seem to find a way of doing that in Analytica.&lt;br /&gt;
&lt;br /&gt;
Pierre Richard&lt;br /&gt;
richardp@dfo-mpo.gc.ca&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Talk:Beta_Tester_Page&amp;diff=3774</id>
		<title>Talk:Beta Tester Page</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Talk:Beta_Tester_Page&amp;diff=3774"/>
		<updated>2007-04-13T18:46:35Z</updated>

		<summary type="html">&lt;p&gt;Prichard: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Pierre Richard 13 April 2007 comments on 4.0 build 4.0.0.39&lt;br /&gt;
-----------------------------------------------------------&lt;br /&gt;
&lt;br /&gt;
Graphic&lt;br /&gt;
---------&lt;br /&gt;
- Many excellent Graph setup changes: especially colour, line thickness, fill, and log scale are excellent improvements for presentations&lt;br /&gt;
- There is a small square at bottom-right that does not fill with colour(!?)&lt;br /&gt;
- 3D is of no apparent use - it does not improve readability of graphics&lt;br /&gt;
- Can there be a B&amp;amp;W line style option (broken, dotted lines for eack key value (for use in publications)?&lt;br /&gt;
- How do you select Number format from the x axis independently of the y axis?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Uncertainty Setup&lt;br /&gt;
-----------------&lt;br /&gt;
- Probability bands - can you add 97.5% and 2.5% for an alpha=0.05.  It is often required to present confidence intervals that have an alpha= 0.05.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Windows Cascading&lt;br /&gt;
-----------------&lt;br /&gt;
BUG !!!!!!- Once, after cascading all open windows, the one with the basic model window partailly filled the window and did not expand correctly when I double-clicked on the top bar.  I could not reproduce that problem again so I am not sure what I did differently.  It seemed like a redraw malfunction, maybe prior operations required some large memory usage and that affected the redraw(!?). I had just done several runs with large uncertainty samples and I had aslo changes to the resampling method to Knuth!?&lt;br /&gt;
&lt;br /&gt;
Functions&lt;br /&gt;
---------&lt;br /&gt;
-I think the SampleWeighting function is extremely useful since in risk analysis we are interested inthe tails of the density distribution. It is particularly useful when that probability density is wide or skewed. I did not follow the instructions to change that weighting!  I would need to see an example of how to define weighting to enhance the sampling of the tails (!?). Would that be achieved by specifying a weighting function?&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
	<entry>
		<id>https://docs.analytica.com/index.php?title=Talk:Beta_Tester_Page&amp;diff=3773</id>
		<title>Talk:Beta Tester Page</title>
		<link rel="alternate" type="text/html" href="https://docs.analytica.com/index.php?title=Talk:Beta_Tester_Page&amp;diff=3773"/>
		<updated>2007-04-13T18:44:39Z</updated>

		<summary type="html">&lt;p&gt;Prichard: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Pierre Richard 13 April 2007 comments on 4.0 build 4.0.0.39&lt;br /&gt;
-----------------------------------------------------------&lt;br /&gt;
&lt;br /&gt;
Graphic&lt;br /&gt;
---------&lt;br /&gt;
- Many excellent Graph setup changes: especially colour, line thickness, fill, and log scale are excellent improvements for presentations&lt;br /&gt;
- There is a small square at bottom-right that does not fill with colour(!?)&lt;br /&gt;
- 3D is of no apparent use - it does not improve readability of graphics&lt;br /&gt;
- Can there be a B&amp;amp;W line style option (broken, dotted lines for eack key value (for use in publications)?&lt;br /&gt;
- How do you select Number format from the x axis independently of the y axis?&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Uncertainty Setup&lt;br /&gt;
-----------------&lt;br /&gt;
- Probability bands - can you add 97.5% and 2.5% for an alpha=0.05.  It is often required to present confidence intervals that have an alpha= 0.05.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Windows Cascading&lt;br /&gt;
-----------------&lt;br /&gt;
BUG !!!!!!- Once, after cascading all open windows, the one with the basic model window partailly filled the window and did not expand correctly when I double-clicked on the top bar.  I could not reproduce that problem again so I am not sure what I did differently.  It seemed like a redraw malfunction, maybe prior operations required some large memory usage and that affected the redraw(!?). I had just done several runs with large uncertainty samples and I had aslo changes to the resampling method to Knuth!?&lt;br /&gt;
&lt;br /&gt;
Functions&lt;br /&gt;
---------&lt;br /&gt;
-I think the SampleWeighting function is extremely useful since in risk analysis we are interested inthe tails of the density distribution. It is particularly useful when that probability density is wide or skewed. I did not follow the instructions to change that weighting!  I would need to see an example of how to define wiethign to ehance the sampling of the tails.  What that be achieve by specifing a weithing function!?&lt;/div&gt;</summary>
		<author><name>Prichard</name></author>
	</entry>
</feed>