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blatent

Bayesian Latent Variable Models in R

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Version

Install

install.packages('blatent')

Monthly Downloads

284

Version

0.1.0

License

GPL (>= 2)

Maintainer

Jonathan Templin

Last Published

December 8th, 2020

Functions in blatent (0.1.0)

latent

Declares latent variables in a blatent model
calculateWAIC

calculateWAIC
blatentSyntax

Syntax specifications for blatent
createParameterVector

Creates named numeric vector with parameter names for analysis specified by modelText
calculateDIC

calculateDIC
blatentEstimate

Use blatent to estimate a Bayesian latent variable model. Currently supports estimation of an LCDM (Loglinar Cognitive Diagnosis Model)-like model using a probit link function.
blatent

blatent: A package for estimating Bayesian latent variable models.
blatentPPMC

blatentPPMC
blatentSimulate

Simulates data using blatent syntax and simulated parameters input
blatentControl

blatent estimation specifications
setPosteriorPredictiveCheckOptions

Posterior Predictive Model Checking Options
observed

Declares observed variables in a blatent model
setDefaultSimulatedParameters

Creates simulation specifications for simulating data in blatent
setDefaultPriors

Sets the prior distribution parameters for all parameters not named in priorsList
setDefaultInitializeParameters

Sets the distribution parameters for initializing all parameters