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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:

Please use the canonical form https://CRAN.R-project.org/package=lslx to link to this page.

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.
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