Difference between revisions of "Example Models and Libraries - Table"
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|[[media:French-English.ana|French-English.ana]] | |[[media:French-English.ana|French-English.ana]] | ||
|multi-lingual models | |multi-lingual models | ||
− | |<div style="text-align: left;">Maintains a single influence diagram with Title and Description attributes in both English and | + | |<div style="text-align: left;">Maintains a single influence diagram with Title and Description attributes in both English and French.</div> |
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|[[Multi-lingual Influence Diagram]] | |[[Multi-lingual Influence Diagram]] | ||
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|[[media:Parsing XML example.ana|Parsing XML example.ana]] | |[[media:Parsing XML example.ana|Parsing XML example.ana]] | ||
|data extraction, xml, DOM parsing | |data extraction, xml, DOM parsing | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Demonstrates two methods for extracting data: Using a full XML DOM parser, or using regular expressions.</div> |
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|[[Extracting Data from an XML file]] | |[[Extracting Data from an XML file]] | ||
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|[[media:Vector Math.ana|Vector Math.ana]] | |[[media:Vector Math.ana|Vector Math.ana]] | ||
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− | |<div style="text-align: left;">Functions used for computing geospatial coordinates and distances. | + | |<div style="text-align: left;">Functions used for computing geospatial coordinates and distances.</div> |
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|geospatial analysis, GIS, vector analysis | |geospatial analysis, GIS, vector analysis | ||
|[[Vector Math]] | |[[Vector Math]] | ||
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|[[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]] or<br />[[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]] for those without Optimizer | |[[media:Total Allowable Removal model with Optimizer.ana | Total Allowable w Optimizer.ana]] or<br />[[media:Total Allowable Removal model w StepInterp.ana|Total Allowable w StepInterp.ana]] for those without Optimizer | ||
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− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Determines 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).</div> |
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|population analysis, dynamic models, optimization analysis | |population analysis, dynamic models, optimization analysis | ||
|[[Total Allowable Harvest]] | |[[Total Allowable Harvest]] | ||
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|[[media:Cereal Formulation1.ana|Cereal Formulation1.ana]] | |[[media:Cereal Formulation1.ana|Cereal Formulation1.ana]] | ||
|product formulation, cereal formulation | |product formulation, cereal formulation | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Cereal formulation/discrete mixed integer model that chooses product formulations to minimize total ingredient costs.</div> |
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|[[Linearizing a discrete NSP]] | |[[Linearizing a discrete NSP]] | ||
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| Model | | Model | ||
|[[media:Neural-Network.ana|Neural Network.ana]] | |[[media:Neural-Network.ana|Neural Network.ana]] | ||
− | |feed-forward neural networks | + | |feed-forward neural networks, non-linear regression |
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Models set up to train a 2-layer feedforward sigmoid network to "learn" the concept represented by the data set(s), and then test how well it does across examples not appearing in the training set.</div> |
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|optimization analysis | |optimization analysis | ||
|[[Neural Network]] | |[[Neural Network]] | ||
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|[[media:Earthquake expenses.ana|Earthquake expenses.ana]] | |[[media:Earthquake expenses.ana|Earthquake expenses.ana]] | ||
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− | |<div style="text-align: left;">An example of risk analysis with time-dependence and costs shifted over time | + | |<div style="text-align: left;">An example of risk analysis with time-dependence and costs shifted over time.</div> |
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|risk analysis, cost analysis | |risk analysis, cost analysis | ||
|[[Earthquake Expenses]] | |[[Earthquake Expenses]] | ||
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|'''Best used with Analytica Optimizer'''<br />[[media:Loan policy selection.ANA|Loan policy selection.ana]] | |'''Best used with Analytica Optimizer'''<br />[[media:Loan policy selection.ANA|Loan policy selection.ana]] | ||
|creditworthiness, credit rating, default risk | |creditworthiness, credit rating, default risk | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Helps a lender decide optimal credit rating threshold to require and what interest rate (above prime) to charge.</div> |
|risk analysis | |risk analysis | ||
|[[Loan Policy Selection]] | |[[Loan Policy Selection]] | ||
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|[[media:Hubbard and Seiersen cyberrisk.ana|Hubbard_and_Seiersen_cyberrisk.ana]] | |[[media:Hubbard and Seiersen cyberrisk.ana|Hubbard_and_Seiersen_cyberrisk.ana]] | ||
|cybersecurity risk | |cybersecurity risk | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Simulates loss exceedance curves for a set of cybersecurity events, the likelihood and probabilistic monetary impact of which have been characterized by system experts.</div> |
|loss exceedance curve, simulation | |loss exceedance curve, simulation | ||
|[[Inherent and Residual Risk Simulation]] | |[[Inherent and Residual Risk Simulation]] | ||
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|[[media:Red State Blue State plot.ana]] | |[[media:Red State Blue State plot.ana]] | ||
|map, states | |map, states | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Example containing the shape outlines for each of the 50 US states, along with a graph that uses color to depict something that varies by state.</div> |
|graphing | |graphing | ||
|[[Red or blue state]] | |[[Red or blue state]] | ||
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|[[media:COVID Model 2020--03-25.ana|COVID Model 2020--03-25.ana]] | |[[media:COVID Model 2020--03-25.ana|COVID Model 2020--03-25.ana]] | ||
|covid, covid-19, coronavirus, corona, epidemic | |covid, covid-19, coronavirus, corona, epidemic | ||
− | |<div style="text-align: left;">A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado | + | |<div style="text-align: left;">A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado.</div> |
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|[[COVID-19 State Simulator, a Systems Dynamics approach]] | |[[COVID-19 State Simulator, a Systems Dynamics approach]] | ||
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| Model | | Model | ||
|[[Media:Corona Markov.ana|Corona Markov.ana]] | |[[Media:Corona Markov.ana|Corona Markov.ana]] | ||
− | |covid, covid-19, coronavirus, corona, epidemic | + | |covid, covid-19, coronavirus, corona, epidemic, sensitivity analyses |
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Explores the progression of the COVID-19 coronavirus epidemic in the US, and to explore the effects of different levels of social isolation.</div> |
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|[[How social isolation impacts COVID-19 spread in the US - A Markov model approach]] | |[[How social isolation impacts COVID-19 spread in the US - A Markov model approach]] | ||
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|[[Media:Modelo Epidemiologoco para el Covid-19 con cuarentena.ana|Modelo Epidemiológoco para el Covid-19 con cuarentena.ana]] | |[[Media:Modelo Epidemiologoco para el Covid-19 con cuarentena.ana|Modelo Epidemiológoco para el Covid-19 con cuarentena.ana]] | ||
|covid, covid-19, coronavirus, corona, epidemic | |covid, covid-19, coronavirus, corona, epidemic | ||
− | |<div style="text-align: left;">Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social | + | |<div style="text-align: left;">Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social.</div> |
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|[[Epidemiological model of COVID-19 for Perú, en español]] | |[[Epidemiological model of COVID-19 for Perú, en español]] | ||
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|[[media:COVID-19_Triangle_Suppression.ana|COVID-19 Triangle Suppression.ana]] | |[[media:COVID-19_Triangle_Suppression.ana|COVID-19 Triangle Suppression.ana]] | ||
|covid, covid-19, coronavirus, corona, epidemic | |covid, covid-19, coronavirus, corona, epidemic | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Models progression of the COVID-19 pandemic in the US, understanding the amount of time that is required for lock down measures when a suppression strategy is adopted.</div> |
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|[[A Triangle Suppression model of COVID-19]] | |[[A Triangle Suppression model of COVID-19]] | ||
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|[[Media:Simple COVID-19.ana|Simple COVID-19.ana]] | |[[Media:Simple COVID-19.ana|Simple COVID-19.ana]] | ||
|covid, covid-19, coronavirus, corona, epidemic | |covid, covid-19, coronavirus, corona, epidemic | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Explores possible COVID-19 Coronavirus scenarios from the beginning of March, 2020 through the end of 2020 in the US.</div> |
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|[[COVID-19 Coronavirus SICR progression for 2020]] | |[[COVID-19 Coronavirus SICR progression for 2020]] | ||
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|[[Media:US COVID-19 Data.ana|US COVID-19 Data.ana]] | |[[Media:US COVID-19 Data.ana|US COVID-19 Data.ana]] | ||
|covid, covid-19, coronavirus, corona, epidemic, death, infection | |covid, covid-19, coronavirus, corona, epidemic, death, infection | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Reads in [https://github.com/nytimes/covid-19-data COVID-19 data from the New York Times] and transforms it into a form that is convenient to work with in Analytica.</div> |
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|[[COVID-19 Case and Death data for US states and counties]] | |[[COVID-19 Case and Death data for US states and counties]] | ||
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|[[Media:Voluntary vs mandatory testing.ana|Voluntary vs mandatory testing.ana]] | |[[Media:Voluntary vs mandatory testing.ana|Voluntary vs mandatory testing.ana]] | ||
|covid, covid-19, coronavirus, corona, epidemic | |covid, covid-19, coronavirus, corona, epidemic | ||
− | |<div style="text-align: left;"> | + | |<div style="text-align: left;">Computes the rate of infection in scenarios when COVID-19 testing is required/optional,based on prevalence rates, test accuracies and voluntary testing rates.</div> |
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|[[Mandatory vs Voluntary testing policies]] | |[[Mandatory vs Voluntary testing policies]] |
Revision as of 08:10, 17 January 2023
This page lists example models and libraries. You can download them from here or (in some cases) link to a page with more details. Feel free to include and upload your own models and libraries.
Model/Library | Download | Domain | Description | Methods | For more |
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Model | Marginal abatement home heating.ana | carbon price, energy efficiency, climate policy | Shows how to set up a Marginal Abatement graph in Analytica.
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graph methods, optimal allocation, budget constraint | Marginal Abatement Graph |
Model | Solar Panel Analysis.ana | renewable energy, photovoltaics, tax credits | Explores whether it would it be cost effective to install solar panels on the roof of a house in San Jose, California.
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net present value, internal rate of return, agile modeling | Solar Panel Analysis |
Model | Items within budget.ana | Given a set of items, with a priority and a cost for each, selects out the highest priority items that fit within the fixed budget.
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Items within Budget function | ||
Model | Grant exclusion.ana | business analysis | 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.
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Grant Exclusion Model | |
Model | Project Priorities 5 0.ana | business models | Evaluates a set of R&D projects (including uncertain R&D costs/revenues), uses multiattribute analysis to compare projects & generates the best portfolio given a R&D budget.
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cost analysis, net present value (NPV), uncertainty analysis | Project Planner |
Model | Steel and aluminum tariff model.ana | Estimate of the net impact of the 2018 import tariffs on steel and aluminum on the US trade deficit.
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Steel and Aluminum import tariff impact on US trade deficit | ||
Model | Tax bracket interpolation 2021.ana | Computes amount of tax due from taxable income for a 2017 US Federal tax return.
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Tax bracket interpolation | ||
Model | Feasible Sampler.ana | feasibility | Implements a button that will sample a collection of chance variables, then reset the sample size and keep only those sample points that are "feasible".
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Model | Cross-validation example.ana | Fits a non-linear kernel function to the residual error, and uses cross-validation to determine how many kernel functions should be used.
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cross-validation, overfitting, non-linear kernel functions | Cross-Validation / Fitting Kernel Functions to Data | |
Model | Bootstrapping.ana | Bootstrapping; estimates sampling error by resampling the original data.
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bootstrapping, sampling error, re-sampling | Statistical Bootstrapping | |
Model | Kernel Density Estimation.ana | Demonstrates a very simple fixed-width kernel density estimator to estimate a "smooth" probability density.
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kernel density estimation, kernel density smoothing | Smooth PDF plots using Kernel Density Estimation | |
Model | Output and input columns.ana | Presents an input table to a user, where one column is populated with computed output data, the other column with checkboxes for the user to select.
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data analysis | Output and Input Columns in Same Table | |
Model | Platform2018b.ana | offshore platforms, oil and gas, stakeholders, rigs to reefs, decision support | Determined how to decommission California's 27 offshore oil platforms.
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decision analysis, multi-attribute, sensitivity analysis | From Controversy to Consensus: California's offshore oil platforms |
Model | Comparing retirement account types.ana or Free 101 Compatible Version | 401(k), IRA, retirement account, decision analysis, uncertainty | Explores tradeoffs between different retirement account types.
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MultiTables, sensitivity analysis | Retirement plan type comparison |
Model | Plane catching with UI 2020.ANA | Determines when you should leave home to catch an early morning plane departure.
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decision theory, decision analysis, uncertainty, Monte Carlo simulation, value of information, EVPI, EVIU | Plane Catching Decision with Expected Value of Including Uncertainty | |
Model | Marginal Analysis for Control of SO2 Emissions.ana | environmental engineering | Marginal analysis a.k.a. benefit/cost analysis to determine the policy alternative that leads us to the most economically efficient level of cleanup of acid rain from coal-burning electric-generating plants.
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cost-benefit analysis, marginal analysis | Marginal Analysis for Control of SO2 emissions |
Model | Donor-Presenter Dashboard.ana | Implements a continuous-time Markov chain in Analytica's discrete-time dynamic simulation environment. It supports immigration to, and emigration from, every node.
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dynamic models, Markov processes | Donor/Presenter Dashboard | |
Model | Photosynthesis Regulation.ana - main regulation pathways Photosystem.ana - rough sketch of genetic regulation |
photosynthesis | A model of how photosynthesis is regulated inside a cyanobacteria. Simulates the concentration levels of key transport molecules along the chain.
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dynamic models | Regulation of Photosynthesis |
Model | Time-series-reindexing.ana | Examples of time-series re-indexing.
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dynamic models, forecasting, time-series re-indexing | Time-series re-indexing | |
Model | Post Compression Model | Calculator for computing the maximum load that can be handled by a Douglas Fir - Larch post of a given size, grade, and composition in a construction setting.
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Timber Post Compression Load Capacity | ||
Model | Compression Post Load Capacity.ana | Computes the load that a Douglas-Fir Larch post can support in compression. Works for different timber types and grades and post sizes.
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compression analysis | Compression Post Load Calculator | |
Model | Daylighting analyzer.ana | engineering | How to analyze lifecycle costs and savings from daylighting options in building design.
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cost-benefits analysis | Daylighting Options in Building Design |
Model | California Power Plants.ana | power plants | Example showing how to use Choice menus and Checkbox inside an Edit table.
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edit table, choice menu, pulldown menu, checkbox | California Power Plants |
Model | Requires Analytica Optimizer Electrical Transmission.ana |
electrical engineering, power generation and transmission | Electrical network model that minimizes total cost of generation and transmission.
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Electrical Generation and Transmission | |
Model | Time of use pricing.ana & MECOLS0620.xlsx (both files needed) |
reading from spreadsheets, time-of-use pricing, electricity pricing | Time-of-use pricing is a rate tariff model used by utility companies that changes more during times when demand tends to exceed supply.
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Time of Use pricing | |
Model | Color map.ana | A model which highlights Cell Formatting and Computed Cell Formats.
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computed cell formatting | Color Map | |
Model | World cup.ana | Demonstrates the Poisson distribution to determine why France beat Croatia in 2018.
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2018 World Cup Soccer final | ||
Model | resnet18.zip | residual network, deep residual learning, image recognition | Show it an image, and it tries to recognize what it is an image of, classifying it among 1000 possible categories. It uses an 18-layer residual network.
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Image recognition | |
Model | Month to quarter.ana | Shows how to transform an array from a finer-grain index (e.g., Month) onto a coarser index (e.g., Quarter). We generally refer to this as aggregation.
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aggregation, level of detail, days, weeks, months, quarters, years | Transforming Dimensions by transform matrix, month to quarter | |
Model | Convolution.ana | Contains several examples of convolved functions.
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signal analysis, systems analysis | Convolution | |
Model | Dependency Tracker.ana | 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.
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dependency analysis | Dependency Tracker Module | |
Model | French-English.ana | multi-lingual models | Maintains a single influence diagram with Title and Description attributes in both English and French.
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Multi-lingual Influence Diagram | |
Model | Parsing XML example.ana | data extraction, xml, DOM parsing | Demonstrates two methods for extracting data: Using a full XML DOM parser, or using regular expressions.
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Extracting Data from an XML file | |
Model | Vector Math.ana | Functions used for computing geospatial coordinates and distances.
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geospatial analysis, GIS, vector analysis | Vector Math | |
Model | Total Allowable w Optimizer.ana or Total Allowable w StepInterp.ana for those without Optimizer |
Determines 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).
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population analysis, dynamic models, optimization analysis | Total Allowable Harvest | |
Model | Cereal Formulation1.ana | product formulation, cereal formulation | Cereal formulation/discrete mixed integer model that chooses product formulations to minimize total ingredient costs.
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Linearizing a discrete NSP | |
Model | Neural Network.ana | feed-forward neural networks, non-linear regression | Models set up to train a 2-layer feedforward sigmoid network to "learn" the concept represented by the data set(s), and then test how well it does across examples not appearing in the training set.
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optimization analysis | Neural Network |
Model | Earthquake expenses.ana | An example of risk analysis with time-dependence and costs shifted over time.
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risk analysis, cost analysis | Earthquake Expenses | |
Best used with Analytica Optimizer Loan policy selection.ana |
creditworthiness, credit rating, default risk | Helps a lender decide optimal credit rating threshold to require and what interest rate (above prime) to charge.
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risk analysis | Loan Policy Selection | |
Model | Hubbard_and_Seiersen_cyberrisk.ana | cybersecurity risk | Simulates loss exceedance curves for a set of cybersecurity events, the likelihood and probabilistic monetary impact of which have been characterized by system experts.
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loss exceedance curve, simulation | Inherent and Residual Risk Simulation |
Model | media:Red State Blue State plot.ana | map, states | Example containing the shape outlines for each of the 50 US states, along with a graph that uses color to depict something that varies by state.
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graphing | Red or blue state |
Model | COVID Model 2020--03-25.ana | covid, covid-19, coronavirus, corona, epidemic | A systems dynamics style SICR model of the COVID-19 outbreak within the state of Colorado.
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COVID-19 State Simulator, a Systems Dynamics approach | |
Model | Corona Markov.ana | covid, covid-19, coronavirus, corona, epidemic, sensitivity analyses | Explores the progression of the COVID-19 coronavirus epidemic in the US, and to explore the effects of different levels of social isolation.
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How social isolation impacts COVID-19 spread in the US - A Markov model approach | |
Model | Modelo Epidemiológoco para el Covid-19 con cuarentena.ana | covid, covid-19, coronavirus, corona, epidemic | Un modelo en cadena de Markov del impacto previsto de la enfermedad coronavirus COVID-19 en el Perú, y del impacto del aislamiento social.
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Epidemiological model of COVID-19 for Perú, en español | |
Model | COVID-19 Triangle Suppression.ana | covid, covid-19, coronavirus, corona, epidemic | Models progression of the COVID-19 pandemic in the US, understanding the amount of time that is required for lock down measures when a suppression strategy is adopted.
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A Triangle Suppression model of COVID-19 | |
Model | Simple COVID-19.ana | covid, covid-19, coronavirus, corona, epidemic | Explores possible COVID-19 Coronavirus scenarios from the beginning of March, 2020 through the end of 2020 in the US.
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COVID-19 Coronavirus SICR progression for 2020 | |
Model | US COVID-19 Data.ana | covid, covid-19, coronavirus, corona, epidemic, death, infection | Reads in COVID-19 data from the New York Times and transforms it into a form that is convenient to work with in Analytica.
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COVID-19 Case and Death data for US states and counties | |
Model | Voluntary vs mandatory testing.ana | covid, covid-19, coronavirus, corona, epidemic | Computes the rate of infection in scenarios when COVID-19 testing is required/optional,based on prevalence rates, test accuracies and voluntary testing rates.
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Mandatory vs Voluntary testing policies |
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