RePast Jelly Taglibrary Project

Tag Documentation

The following document contains a summary of all the core Jelly tag libraries.

Tag Libraries

Library	Description
jelly:random

jelly:random

Tag Name	Description
uniform	This is a random number generation class that produces pseudo-random doubles acording to a configured Normal Distribution. It uses the cern.jet.random.Normal Class to support this distribution. The distribution can be configured by supplying a mean and a standard devation. A seed can also be provided.
normal	This is a random number generation class that produces pseudo-random doubles acording to a configured Normal Distribution. It uses the cern.jet.random.Normal Class to support this distribution. The distribution can be configured by supplying a mean and a standard devation. A seed can also be provided.
mersenneTwister
gamma	This is a random number generation class that produces pseudo-random doubles acording to a configured Lambda Distribution. The Distribution is supported by the cern.jet.random.Gamma Distribution Class. The distribution can be configured by two strategies 1.) Alpha and Lambda parameters can be provided for the distribution.
beta	This is a random number generation class that produces pseudo-random doubles acording to a configured Beta Distribution. The Distribution is supported by the cern.jet.random.Beta Distribution Class. The distribution can be configured by two strategies 1.) Alpha and Beta parameters can be provided for the distribution. 2.) The mean and standard devation can be provided to configure the distribution. With this strategy alpha and beta are estimated through the equations: alpha = mean{[mean(1-mean)/s^2] - 1} beta = (1-mean) mean{[mean(1-mean)/s^2] - 1}

This is a random number generation class that produces pseudo-random doubles acording to a configured Normal Distribution. It uses the cern.jet.random.Normal Class to support this distribution. The distribution can be configured by supplying a mean and a standard devation. A seed can also be provided.

Attribute Name	Type	Description
min	int	Setter for property min.
max	int	Setter for property max.
engine	edu.cornell.lassp.houle.RngPack.RandomElement	Setter for property engine.
var	java.lang.String	Setter for property var.
trim	boolean

random:normal

Attribute Name	Type	Description
mean	double	Setter for property mean.
std	double	Setter for property std.
engine	edu.cornell.lassp.houle.RngPack.RandomElement	Setter for property engine.
var	java.lang.String	Setter for property var.
trim	boolean

random:mersenneTwister

Attribute Name	Type	Description
seed	org.apache.commons.jelly.expression.Expression	Setter for property seed.
var	java.lang.String	Setter for property var.
trim	boolean

random:gamma

This is a random number generation class that produces pseudo-random doubles acording to a configured Lambda Distribution. The Distribution is supported by the cern.jet.random.Gamma Distribution Class. The distribution can be configured by two strategies 1.) Alpha and Lambda parameters can be provided for the distribution.

Attribute Name	Type	Description
alpha	double	Setter for property alpha.
lambda	double	Setter for property lambda.
engine	edu.cornell.lassp.houle.RngPack.RandomElement	Setter for property engine.
var	java.lang.String	Setter for property var.
trim	boolean

random:beta

This is a random number generation class that produces pseudo-random doubles acording to a configured Beta Distribution. The Distribution is supported by the cern.jet.random.Beta Distribution Class. The distribution can be configured by two strategies 1.) Alpha and Beta parameters can be provided for the distribution. 2.) The mean and standard devation can be provided to configure the distribution. With this strategy alpha and beta are estimated through the equations: alpha = mean{[mean(1-mean)/s^2] - 1} beta = (1-mean) mean{[mean(1-mean)/s^2] - 1}

Attribute Name	Type	Description
mean	double	If used Beta is configured byMean and std is also required. Otherwise, alpha and beta are required.
std	double	If used Beta is configured byMean and mean is also required. Otherwise, alpha and beta are required.
alpha	double	If used Beta is configured by alpha and beta is also required. Otherwise, mean and std are required.
beta	double	If used Beta is configured by beta and alpha is also required. Otherwise, mean and std are required.
limitVariance	boolean	Available when Beta is configured by Mean and Std. Limits the variance acording to the behavior defined in the LimitedBeta Class. Optional.
engine	edu.cornell.lassp.houle.RngPack.RandomElement	Setter for property engine.
var	java.lang.String	Setter for property var.
trim	boolean