Package: plavaan 0.0.2.9000

plavaan: Penalized Estimation for Latent Variable Models with 'lavaan'

Extends the popular 'lavaan' package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.

Authors:Hok Chio Lai [aut, cre]

plavaan_0.0.2.9000.tar.gz
plavaan_0.0.2.9000.zip(r-4.7-any)plavaan_0.0.2.9000.zip(r-4.6-any)plavaan_0.0.2.9000.zip(r-4.5-any)
plavaan_0.0.2.9000.tgz(r-4.6-any)plavaan_0.0.2.9000.tgz(r-4.5-any)
plavaan_0.0.2.9000.tar.gz(r-4.7-any)plavaan_0.0.2.9000.tar.gz(r-4.6-any)
plavaan_0.0.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
plavaan/json (API)

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

Bug tracker:https://github.com/marklhc/plavaan/issues

Pkgdown/docs site:https://marklhc.github.io

On CRAN:

Conda:

5.46 score 16 scripts 249 downloads 6 exports 6 dependencies

Last updated from:c8d8e02763. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK136
source / vignettesOK188
linux-releaseOK141
macos-releaseOK126
macos-oldrelOK203
windows-develOK102
windows-releaseOK93
windows-oldrelOK76
wasm-releaseOK123

Exports:alfcomposite_pair_losseffective_dfl0apenalized_estpenalized_est_multistart

Dependencies:lavaanMASSmnormtnumDerivpbivnormquadprog

Penalized Estimation of Cross-Loadings and Unique Covariances
Penalize cross-loadings | Two-factor CFA model | Two-factor EFA model (unidentified) | Two-factor EFA model with penalized cross-loadings | Penalize Cross-loadings and Unique Covariances | Two-factor EFA model with unique covariances | Two-factor EFA model with penalized cross-loadings and unique covariances | Penalize Cross-Loadings, Unique Covariances, and Difference in Loadings and Intercepts Across Time
Rendered frompenalized-fa.Rmdusingknitr::rmarkdown

Last update: 2026-08-27
Started: 2025-12-15

Penalized Estimation with Ordinal Data and Multiple Groups
Prepare Ordinal Data | Multiple-Group CFA Model | Strict and partial invariance models | Penalized Multiple-Group Model | Evaluate Invariance
Rendered frompenalized-cat.Rmdusingknitr::rmarkdown

Last update: 2026-08-27
Started: 2025-12-16

Approximate Invariance with Penalized Estimation
Compared to Results from Mplus (version 9.0)
Rendered fromapproximate-invariance.Rmdusingknitr::rmarkdown

Last update: 2026-08-08
Started: 2025-12-15

Multistart Penalized Estimation
Why multistart? | Single-start baseline | Multistart with random jittering | Comparing local solutions | Using custom starting values | Reproducibility | Parallel execution
Rendered frompenalized-multistart.Rmdusingknitr::rmarkdown

Last update: 2026-08-06
Started: 2026-07-28

Negative Loadings
Rendered fromnegative-loading.Rmdusingknitr::rmarkdown

Last update: 2026-07-28
Started: 2026-07-28

Standard Errors
Penalize cross-loadings | Two-factor CFA model | Penalize non-invariance
Rendered fromstandard-errors.Rmdusingknitr::rmarkdown

Last update: 2026-07-28
Started: 2025-12-18