Package: blavaan 0.5-8.1338

blavaan: Bayesian Latent Variable Analysis

Fit a variety of Bayesian latent variable models, including confirmatory factor analysis, structural equation models, and latent growth curve models. References: Merkle & Rosseel (2018) <doi:10.18637/jss.v085.i04>; Merkle et al. (2021) <doi:10.18637/jss.v100.i06>.

Authors:Edgar Merkle [aut, cre], Yves Rosseel [aut], Ben Goodrich [aut], Mauricio Garnier-Villarreal [ctb], Terrence D. Jorgensen [ctb], Huub Hoofs [ctb], Rens van de Schoot [ctb], Andrew Johnson [ctb], Matthew Emery [ctb]

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NEWS

# Install 'blavaan' in R:
install.packages('blavaan', repos = c('https://ecmerkle.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ecmerkle/blavaan/issues

Pkgdown site:https://ecmerkle.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

bayesian-statisticsfactor-analysisgrowth-curve-modelslatent-variablesmissing-datamultilevel-modelsmultivariate-analysispath-analysispsychometricsstatistical-modelingstructural-equation-modelingcpp

10.80 score 90 stars 3 packages 183 scripts 5.8k downloads 6 mentions 20 exports 79 dependencies

Last updated 8 hours agofrom:714d184a5c. Checks:1 OK, 10 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-win-x86_64ERRORFeb 19 2025
R-4.5-mac-x86_64ERRORFeb 19 2025
R-4.5-mac-aarch64ERRORFeb 19 2025
R-4.5-linux-x86_64ERRORFeb 19 2025
R-4.4-win-x86_64ERRORFeb 19 2025
R-4.4-mac-x86_64ERRORFeb 19 2025
R-4.4-mac-aarch64ERRORFeb 19 2025
R-4.3-win-x86_64ERRORFeb 19 2025
R-4.3-mac-x86_64ERRORFeb 19 2025
R-4.3-mac-aarch64ERRORFeb 19 2025

Exports:bcfaBFbgrowthblavaanblavCompareblavFitIndicesblavInspectblavPredictblavTechbsemcoefdpriorslabelfunppmcpredictsampleDatashowstandardizedposteriorstandardizedPosteriorsummary

Dependencies:abindbackportsbayesplotBHcallrcheckmateclicodacodetoolscolorspaceCompQuadFormdescdigestdistributionaldplyrfansifarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelavaanlifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmnormtmunsellmvtnormnlmenonnest2numDerivparallellypbivnormpillarpkgbuildpkgconfigplyrposteriorprocessxpsquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolssandwichscalesStanHeadersstringistringrtensorAtibbletidyselecttmvnsimutf8vctrsviridisLitewithrzoo

Readme and manuals

Help Manual

Help pageTopics
Fit Confirmatory Factor Analysis Modelsbcfa
Fit Growth Curve Modelsbgrowth
blavaan internal functionsblav_internal blav_model_test coeffun labelfun set_inits set_phantoms set_priors
Fit a Bayesian Latent Variable Modelblavaan
Class For Representing A (Fitted) Bayesian Latent Variable Modelblavaan-class coef,blavaan-method predict,blavaan-method show,blavaan-method summary,blavaan-method
Bayesian model comparisonsBF blavCompare
SEM Fit Indices for Bayesian SEMblavFitIndices blavFitIndices-class show,blavFitIndices-method summary,blavFitIndices-method summary.bfi
Inspect or Extract Information from a Fitted blavaan ObjectblavInspect blavTech
Predict the values of latent variables, observed variables, and missing variables.blavPredict blavpredict
Fit Structural Equation Modelsbsem
Specify Default Prior Distributionsdpriors
blavaan Diagnostic Plotsplot.blavaan
Posterior Predictive Model ChecksblavPPMC-class hist.blavPPMC pairs.blavPPMC plot.blavPPMC ppmc show,blavPPMC-method summary,blavPPMC-method summary.ppmc
Sample data from the posterior (or prior) distribution.sampleData sampledata
Standardized PosteriorstandardizedPosterior standardizedposterior