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blatent
Bayesian Latent Variable Models in R
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Version
Version
0.1.2
0.1.1
0.1.0
Install
install.packages('blatent')
Monthly Downloads
276
Version
0.1.1
License
GPL (>= 2)
Maintainer
Jonathan Templin
Last Published
December 15th, 2020
Functions in blatent (0.1.1)
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blatentSyntax
Syntax specifications for blatent
blatentSimulate
Simulates data using blatent syntax and simulated parameters input
calculateDIC
calculateDIC
createParameterVector
Creates named numeric vector with parameter names for analysis specified by modelText
blatent
blatent: A package for estimating Bayesian latent variable models.
latent
Declares latent variables in a blatent model
blatentEstimate
Use blatent to estimate a Bayesian latent variable model. Currently supports estimation of the LCDM (Loglinar Cognitive Diagnosis Model).
calculateWAIC
calculateWAIC
blatentPPMC
blatentPPMC
blatentControl
blatent estimation specifications
setPosteriorPredictiveCheckOptions
Posterior Predictive Model Checking Options
setDefaultInitializeParameters
Sets the distribution parameters for initializing all parameters
observed
Declares observed variables in a blatent model
setDefaultPriors
Sets the prior distribution parameters for all parameters not named in priorsList
setDefaultSimulatedParameters
Creates simulation specifications for simulating data in blatent