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lslx: Semi-Confirmatory Structural Equation Modeling via PenalizedLikelihood 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.html ,lslx.pdf
Vignettes:	Semi-Confirmatory Factor Analysis (source,R code) Factor Analysis with Missing Data (source,R code) Multi-Group Factor Analysis (source,R code) Regression Analysis with Lasso Penalty (source,R code) Semi-Confirmatory Structural Equation Modeling (source,R code)

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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