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CRAN: Package lslx

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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