Package: blavaan 0.6-1.1486

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]

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blavaan_0.6-1.1486.tgz(r-4.6-emscripten)
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://blavaan.org

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

11.01 score 104 stars 2 packages 348 scripts 9.0k downloads 6 mentions 23 exports 81 dependencies

Last updated from:485b8d2a83. Checks:10 NOTE, 2 OK, 3 ERROR. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE1279
linux-develNOTE1458
source / vignettesOK906
linux-releaseNOTE1501
linux-releaseNOTE1637
macos-releaseNOTE1148
macos-releaseNOTE1976
macos-oldrelNOTE1032
macos-oldrelNOTE2437
windows-develNOTE1771
windows-develERROR1773
windows-releaseNOTE1746
windows-releaseERROR2466
windows-oldrelERROR1825
wasm-releaseOK773

Exports:bcfaBFbgrowthblavaanblavCompareblavFitIndicesblavInspectblavPredictblavTechbsemcoefdpriorsglancelabelfunppmcppppredictsampleDatashowstandardizedposteriorstandardizedPosteriorsummarytidy

Dependencies:abindbackportsbayesplotBHcallrcheckmateclicodacodetoolsCompQuadFormcpp11descdigestdistributionaldplyrfarverfuturefuture.applygenericsggdistggplot2ggridgesglobalsgluegridExtragtableigraphinlineisobandlabelinglatticelavaanlifecyclelistenvloomagrittrMASSMatrixmatrixStatsmnormtmvtnormnonnest2numDerivotelparallellypbivnormpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7sandwichscalesStanHeadersstringistringrtensorAtibbletidyrtidyselecttmvnsimutf8vctrsviridisLitewithrzoo

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
Posterior Predictive P-valueppp
Sample data from the posterior (or prior) distribution.sampleData sampledata
Standardized PosteriorstandardizedPosterior standardizedposterior
Tidy a blavaan objecttidy.blavaan