R: Bayesian Latent Variable Models

# Bayesian Latent Variable Models

## Documentation for package ‘blatent’ version 0.1.2

- DESCRIPTION file.

## Help Pages

blatent-package | blatent: A package for estimating Bayesian latent variable models.
blatent | blatent: A package for estimating Bayesian latent variable models.
blatentControl | blatent estimation specifications
blatentEstimate | Use blatent to estimate a Bayesian latent variable model. Currently supports estimation of the LCDM (Loglinar Cognitive Diagnosis Model).
blatentPPMC | blatentPPMC
blatentSimulate | Simulates data using blatent syntax and simulated parameters input
blatentSyntax | Syntax specifications for blatent
calculateDIC | calculateDIC
calculateWAIC | calculateWAIC
createParameterVector | Creates named numeric vector with parameter names for analysis specified by modelText
latent | Declares latent variables in a blatent model
observed | Declares observed variables in a blatent model
QmatrixToBlatentSyntax | Convert a rectangular Q-matrix into blatent model syntax
setDefaultInitializeParameters | Sets the distribution parameters for initializing all parameters
setDefaultPriors | Sets the prior distribution parameters for all parameters not named in priorsList
setDefaultSimulatedParameters | Creates simulation specifications for simulating data in blatent
setPosteriorPredictiveCheckOptions | Posterior Predictive Model Checking Options