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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