Package: blavaan 0.5-10.1426

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], Michael S. Truong [ctb]

blavaan_0.5-10.1426.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
blavaan/json (API)

# 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/docs site:https://ecmerkle.github.io

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

On CRAN:

Conda:

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

10.93 score 101 stars 2 packages 306 scripts 10k downloads 6 mentions 22 exports 80 dependencies

Last updated from:96eefd1a4b. Checks:11 NOTE, 1 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE856
linux-devel-x86_64NOTE842
source / vignettesOK659
linux-release-arm64NOTE916
linux-release-x86_64NOTE820
macos-release-arm64NOTE785
macos-release-x86_64NOTE1032
macos-oldrel-arm64NOTE773
macos-oldrel-x86_64NOTE995
windows-develNOTE1324
windows-releaseNOTE1262
windows-oldrelNOTE1236
wasm-releaseFAIL459

Exports:bcfaBFbgrowthblavaanblavCompareblavFitIndicesblavInspectblavPredictblavTechbsemcoefdpriorsglancelabelfunppmcpredictsampleDatashowstandardizedposteriorstandardizedPosteriorsummarytidy

Dependencies:abindbackportsbayesplotBHcallrcheckmateclicodacodetoolsCompQuadFormcpp11descdigestdistributionaldplyrfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableigraphinlineisobandlabelinglatticelavaanlifecyclelistenvloomagrittrMASSMatrixmatrixStatsmnormtmvtnormnonnest2numDerivotelparallellypbivnormpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7sandwichscalesStanHeadersstringistringrtensorAtibbletidyrtidyselecttmvnsimutf8vctrsviridisLitewithrzoo

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
Glance at a blavaan objectglance.blavaan
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
Tidy a blavaan objecttidy.blavaan