Package: lslx 0.6.10
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>.
Authors:
lslx_0.6.10.tar.gz
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lslx.pdf |lslx.html✨
lslx/json (API)
# Install 'lslx' in R: |
install.packages('lslx', repos = c('https://psyphh.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/psyphh/lslx/issues
Last updated 3 years agofrom:8694824112. Checks:OK: 1 NOTE: 4 WARNING: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win-x86_64 | NOTE | Oct 30 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 30 2024 |
R-4.4-win-x86_64 | NOTE | Oct 30 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 30 2024 |
R-4.4-mac-aarch64 | WARNING | Oct 30 2024 |
R-4.3-win-x86_64 | NOTE | Oct 30 2024 |
R-4.3-mac-x86_64 | WARNING | Oct 30 2024 |
R-4.3-mac-aarch64 | WARNING | Oct 30 2024 |
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelavaanlifecyclemagrittrMASSMatrixmgcvmnormtmunsellnlmenumDerivpbivnormpillarpkgconfigquadprogR6RColorBrewerRcppRcppEigenrlangscalestibbleutf8vctrsviridisLitewithr
Factor Analysis with Missing Data
Rendered frommissing-data-analysis.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2018-08-13
Started: 2017-10-29
Multi-Group Factor Analysis
Rendered frommulti-group-analysis.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2018-08-13
Started: 2017-10-29
Regression Analysis with Lasso Penalty
Rendered fromregression-analysis.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2018-08-08
Started: 2017-10-24
Semi-Confirmatory Factor Analysis
Rendered fromfactor-analysis.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2018-08-08
Started: 2017-10-24
Semi-Confirmatory Structural Equation Modeling
Rendered fromstructural-equation-modeling.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2018-08-08
Started: 2017-10-24