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) developed by Huang, Chen, and Weng (2017) <doi:10.1007/s11336-017-9566-9>.

Version: 0.6.0
Depends: R (≥ 3.1.0)
Imports: Rcpp, R6, ggplot2, lavaan
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2017-11-03
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
NeedsCompilation: yes
Materials: README
CRAN checks: lslx results

Downloads:

Reference manual: lslx.pdf
Vignettes: Vignette Title
Vignette Title
Vignette Title
Vignette Title
Vignette Title
Package source: lslx_0.6.0.tar.gz
Windows binaries: r-devel: lslx_0.6.0.zip, r-release: lslx_0.6.0.zip, r-oldrel: lslx_0.6.0.zip
OS X El Capitan binaries: r-release: lslx_0.6.0.tgz
OS X Mavericks binaries: r-oldrel: lslx_0.6.0.tgz

Linking:

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