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blatent  

Bayesian Latent Variable Models
View on CRAN: Click here


Download and install blatent package within the R console
Install from CRAN:
install.packages("blatent")

Install from Github:
library("remotes")
install_github("cran/blatent")

Install by package version:
library("remotes")
install_version("blatent", "0.1.2")



Attach the package and use:
library("blatent")
Maintained by
Jonathan Templin
[Scholar Profile | Author Map]
First Published: 2020-12-08
Latest Update: 2023-12-08
Description:
Estimation of latent variable models using Bayesian methods. Currently estimates the loglinear cognitive diagnosis model of Henson, Templin, and Willse (2009) .
How to cite:
Jonathan Templin (2020). blatent: Bayesian Latent Variable Models. R package version 0.1.2, https://cran.r-project.org/web/packages/blatent. Accessed 03 May. 2025.
Previous versions and publish date:
0.1.0 (2020-12-08 10:10), 0.1.1 (2020-12-15 09:20)
Other packages that cited blatent R package
View blatent citation profile
Other R packages that blatent depends, imports, suggests or enhances
Complete documentation for blatent
Functions, R codes and Examples using the blatent R package
Some associated functions: QmatrixToBlatentSyntax . blatent . blatentControl . blatentEstimate . blatentPPMC . blatentSimulate . blatentSyntax . calculateDIC . calculateWAIC . createParameterVector . latent . observed . setDefaultInitializeParameters . setDefaultPriors . setDefaultSimulatedParameters . setPosteriorPredictiveCheckOptions . 
Some associated R codes: MAD.R . QmatrixToBlatentSyntax.R . RMSE.R . RcppExports.R . bias.R . bin2dec.R . blatent.R . blatentControl.R . blatentEstimate.R . blatentPPMC.R . blatentSimulate.R . blatentSyntax.R . buildModelDataMatrix.R . calculateDIC.R . calculateWAIC.R . chainAttributeAnalysis.R . chainSummary.R . classBlatentModel.R . classBlatentSimulate.R . classVariable_Bernoulli.R . classVariable_Generic.R . classVariable_MultivariateBernoulli.R . classVariable_Normal.R . convertSyntaxToFormula.R . correlationTetrachoric.R . createBlankChainHolders.R . createData.R . createModelData.R . createParameterVector.R . createPredProb.R . createVariable.R . dec2bin.R . determineDependencies.R . estimate.R . findTetrachoric.R . generateBernoulliWrap.R . generateDataFromModel.R . getModelParameters.R . getTable.R . getVariableList.R . identityLink.R . identityLinkInvLink.R . initUnits.R . initUnitsVariable.R . initializeClusters.R . initializeSpecs.R . itemCDI.R . itemChiSquare.R . itemDiscrimination.R . joint.R . latent.R . logLikelihoodMarginalLatentCategoricalJoint.R . logLikelihoodMarginalLatentCategoricalUnivariate.R . logLikelihoodMarginalizeCategorical.R . logLikelihoodObservedOnly.R . makeConstraintMatrix.R . observed.R . onLoad.R . parseModelSyntax.R . parsePriors.R . prepareData.R . prior.R . rdirichlet.R . rks.R . runChain.R . runPPMC.R . sampleUnits.R . separateAdditionalSyntax.R . setDefaultInitializeParameters.R . setDefaultPosteriorPredictiveCheckOptions.R . setDefaultPriors.R . setDefaultSimulatedParameters.R . setUnderlyingBounds.R . singlePPMC.R . tetrachoricLikelihood.R . truncMVNblatent.R . updateVariableParameters.R .  Full blatent package functions and examples
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