lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood

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

Version: 0.6.1
Depends: R (≥ 3.1.0)
Imports: Rcpp, R6, ggplot2, lavaan
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2018-01-17
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
CRAN checks: lslx results

Downloads:

Reference manual: lslx.pdf
Vignettes: Semi-Confirmatory Factor Analysis
Semi-Confirmatory Factor Analysis with Missing Data
Semi-Confirmatory Multi-Group Factor Analysis
Regression Analysis with Lasso Penalty
Semi-Confirmatory Structural Equation Modeling
Package source: lslx_0.6.1.tar.gz
Windows binaries: r-devel: lslx_0.6.0.zip, r-release: lslx_0.6.0.zip, r-oldrel: lslx_0.6.1.zip
OS X El Capitan binaries: r-release: lslx_0.6.0.tgz
OS X Mavericks binaries: r-oldrel: lslx_0.6.0.tgz
Old sources: lslx archive

Linking:

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