Package: blavaan 0.5-6.1307

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]

blavaan_0.5-6.1307.tar.gz
blavaan_0.5-6.1307.zip(r-4.5)blavaan_0.5-6.1307.zip(r-4.4)blavaan_0.5-6.1307.zip(r-4.3)
blavaan_0.5-6.1307.tgz(r-4.4-x86_64)blavaan_0.5-6.1307.tgz(r-4.4-arm64)blavaan_0.5-6.1307.tgz(r-4.3-x86_64)blavaan_0.5-6.1307.tgz(r-4.3-arm64)
blavaan_0.5-6.1307.tar.gz(r-4.5-noble)blavaan_0.5-6.1307.tar.gz(r-4.4-noble)
blavaan.pdf |blavaan.html✨
blavaan/json (API)
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

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

bayesian-statistics factor-analysis growth-curve-models latent-variables missing-data multilevel-models multivariate-analysis path-analysis psychometrics statistical-modeling structural-equation-modeling

20 exports 85 stars 4.99 score 79 dependencies 3 dependents 6 mentions 143 scripts 5.1k downloads

Last updated 7 days agofrom:805057abd0. Checks:OK: 1 NOTE: 1 ERROR: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 11 2024
R-4.5-win-x86_64	ERROR	Sep 11 2024
R-4.5-linux-x86_64	NOTE	Sep 11 2024
R-4.4-win-x86_64	ERROR	Sep 11 2024
R-4.4-mac-x86_64	ERROR	Sep 11 2024
R-4.4-mac-aarch64	ERROR	Sep 11 2024
R-4.3-win-x86_64	ERROR	Sep 11 2024
R-4.3-mac-x86_64	ERROR	Sep 11 2024
R-4.3-mac-aarch64	ERROR	Sep 11 2024

Exports:bcfa BF bgrowth blavaan blavCompare blavFitIndices blavInspect blavPredict blavTech bsem coef dpriors labelfun ppmc predict sampleData show standardizedposterior standardizedPosterior summary

Dependencies:abind backports bayesplot BH callr checkmate cli coda codetools colorspace CompQuadForm desc digest distributional dplyr fansi farver future future.apply generics ggplot2 ggridges globals glue gridExtra gtable inline isoband labeling lattice lavaan lifecycle listenv loo magrittr MASS Matrix matrixStats mgcv mnormt munsell mvtnorm nlme nonnest2 numDeriv parallelly pbivnorm pillar pkgbuild pkgconfig plyr posterior processx ps quadprog QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel reshape2 rlang rstan rstantools sandwich scales StanHeaders stringi stringr tensorA tibble tidyselect tmvnsim utf8 vctrs viridisLite withr zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fit Confirmatory Factor Analysis Models	bcfa
Fit Growth Curve Models	bgrowth
blavaan internal functions	blav_internal blav_model_test coeffun labelfun set_inits set_phantoms set_priors
Fit a Bayesian Latent Variable Model	blavaan
Class For Representing A (Fitted) Bayesian Latent Variable Model	blavaan-class coef,blavaan-method predict,blavaan-method show,blavaan-method summary,blavaan-method
Bayesian model comparisons	BF blavCompare
SEM Fit Indices for Bayesian SEM	blavFitIndices blavFitIndices-class show,blavFitIndices-method summary,blavFitIndices-method summary.bfi
Inspect or Extract Information from a Fitted blavaan Object	blavInspect blavTech
Predict the values of latent variables, observed variables, and missing variables.	blavPredict blavpredict
Fit Structural Equation Models	bsem
Specify Default Prior Distributions	dpriors
blavaan Diagnostic Plots	plot.blavaan
Posterior Predictive Model Checks	blavPPMC-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 Posterior	standardizedPosterior standardizedposterior