Additional libraries

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Libraries included with Analytica 4.0

Stub section. Library files should uploaded closer to the release, since they are likely to change before then. Brief descriptions of each need to be inserted and a list of library functions (with links to their detailed documentation) included.

The following libraries are copied to your computer when you install any edition of Analytica (including Trial). You can conveniently add these to a model by selecting Add Library... from the File menu in Analyica.

Bayes Function

Functions for a simple application of Bayes' rule to a complete discrete joint array of prior probabilities.

Download: File:Bayes Function.ana

Complex Numbers

Functions for computing with complex numbers.

Download: File:Complex Library.ana

Concatenation

Functions for concatenation of arrays. Several ConcatN functions allow N arrays to be concatenated in a single call, as an alternative to calling the built-in Concat function N times in sequence. ConcatRows joins the rows of an array .

Download: File:Concatenation.ana

Data Statistics

This library is deprecated (obsolete) in Analytica 4.0, but is still included for backward compatibility for models that used these functions in earlier versions of Analytica. Functions allow statistics, such as SDevation, to be applied across indexes other than Run. The built-in statistical functions now allow the running index to be optionally specified.

Download: File:Data Statistics Library.ana

Distribution Densities

Functions that return the analytic density function for continuous distributions. These densities can be used when using importance sampling, for example.

Download: File:Distribution Densities.ana

Distribution Variations

A variety of alternative parametrizations of built-in univariate distributions, and other common parametric univariate distributions that are simple transformations of built-in distributions.

Download: File:Distribution Variations.ana

Expand Index

Download: File:Expand Index.ana

Financial Functions

Includes functions for derivative valuations, bond pricing, etc.

Note: Standard financial functions (equivalent to those found in Excel) are built into Analytica and are found in the built-in Financial Functions library.

Download: File:Financial Library.ana

Flat File Library

Functions for reading data from a comma-separated flat file format (.CSV) into Analytica arrays.

Download: File:Flat File Library.ana

Garbage Bin

Provides a garbage bin icon. Instead of deleting nodes, you can drag them to the garbage bin. The "deletion" can then be undone if necessary. Also, if the node you delete has dependents or dependencies, this is immediately evident by the arrows emanating to or from the garbage bin.

To empty the garbage bin, double click on it to open it, select all and delete. Emptying the garbage bin in this fashion is not undoable. You must delete an object (permanently) from the garbage bin before you can reuse its identifier.

Download: File:Garbage Bin.ana

Generalized Regression

(Requires Analytica Optimizer )

Logistic and Probit regression. These functions are used to fit a function that predicts the probability of an outcome based on a set of continuous independent variables, from a data set where each data point is classified as either 0 or 1.

Download: File:Generalized Regression.ana

Linked Lists

Download: File:Linked List Library.ana

Multivariate Distributions

Variout multi-dimensional distributions, and the ability to generated correlated distributions.

Download: File:Multivariate Distributions.ana

ODBC Database Functions

• File:ODBC-Library.ana

Optimization Functions

Provides some elementary optimization functions:

• GoalSeek
• Solve
• Gradient

These are usable even without Analytica Optimizer; however they are based on a rudimentary gradient-descent algorithm and don't have anything near the power of the Frontline solver functions provided by Analytica Optimizer functions.

Download: File:Optimization Functions.ana

Profiling

(Required Analytica Enterprise)

Used to determine where a model is consuming time and memory resources.

Download: File:Profiling.ana

Other Libraries

The Sensitivity Analysis Library

The Sensitivity Analysis Library provides functions for analyzing the sensitivity of an output to each cell of each array-valued chance input, and locating those individual scalar inputs that have the greatest impact on the result. See The Sensitivity Analysis Library for documentation on using this library.

The library itself can be downloaded from Sensitivity Analysis Library.ana, and an example model to demonstrate its usage is at Sensitivity Functions Examples.ana.