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lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood or Least Squares

Fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL) or penalized least squares (PLS). For details, please see Huang (2020) <doi:10.18637/jss.v093.i07>.

Version: 0.6.11
Depends: R (≥ 3.5.0)
Imports: stats, Rcpp, R6, ggplot2
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, lavaan
Published: 2022-12-02
DOI: 10.32614/CRAN.package.lslx
Author: Po-Hsien Huang [cre, aut], Wen-Hsin Hu [aut]
Maintainer: Po-Hsien Huang <psyphh at gmail.com>
BugReports: https://github.com/psyphh/lslx/issues
License: GPL-3
URL: https://github.com/psyphh/lslx/wiki
NeedsCompilation: yes
Citation: lslx citation info
In views: Psychometrics
CRAN checks: lslx results

Documentation:

Reference manual: lslx.pdf
Vignettes: Semi-Confirmatory Factor Analysis
Factor Analysis with Missing Data
Multi-Group Factor Analysis
Regression Analysis with Lasso Penalty
Semi-Confirmatory Structural Equation Modeling

Downloads:

Package source: lslx_0.6.11.tar.gz
Windows binaries: r-devel: lslx_0.6.11.zip, r-release: lslx_0.6.11.zip, r-oldrel: lslx_0.6.11.zip
macOS binaries: r-release (arm64): lslx_0.6.11.tgz, r-oldrel (arm64): lslx_0.6.11.tgz, r-release (x86_64): lslx_0.6.11.tgz, r-oldrel (x86_64): lslx_0.6.11.tgz
Old sources: lslx archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.