lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood

Fits semi-confirmatory structural equation modeling (SEM) via penalized likelihood (PL) with elastic net (EN) or minimax concave penalty (MCP).

Version: 0.6.6
Depends: R (≥ 3.5.0)
Imports: stats, Rcpp, R6, ggplot2
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, lavaan
Published: 2019-05-02
Author: Po-Hsien Huang [cre, aut], Wen-Hsin Hu [aut]
Maintainer: Po-Hsien Huang <psyphh at>
License: GPL-3
NeedsCompilation: yes
Citation: lslx citation info
In views: Psychometrics
CRAN checks: lslx results


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
Vignette for Package lslx
Package source: lslx_0.6.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: lslx_0.6.6.tgz, r-oldrel: lslx_0.6.6.tgz
Old sources: lslx archive


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