nlpsem: Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework

Provides computational tools for nonlinear longitudinal models, in particular the intrinsically nonlinear models, in four scenarios: (1) univariate longitudinal processes with growth factors, with or without covariates including time-invariant covariates (TICs) and time-varying covariates (TVCs); (2) multivariate longitudinal processes that facilitate the assessment of correlation or causation between multiple longitudinal variables; (3) multiple-group models for scenarios (1) and (2) to evaluate differences among manifested groups, and (4) longitudinal mixture models for scenarios (1) and (2), with an assumption that trajectories are from multiple latent classes. The methods implemented are introduced in Jin Liu (2023) <doi:10.48550/arXiv.2302.03237>.

Version: 0.3
Depends: R (≥ 4.0.0), OpenMx (≥ 2.21.8)
Imports: ggplot2, dplyr, tidyr, stringr, Matrix, nnet, readr, methods
Suggests: knitr, rmarkdown
Published: 2023-09-12
Author: Jin Liu [aut, cre]
Maintainer: Jin Liu <Veronica.Liu0206 at gmail.com>
BugReports: https://github.com/Veronica0206/nlpsem/issues
License: GPL (≥ 3.0)
URL: https://github.com/Veronica0206/nlpsem
NeedsCompilation: no
CRAN checks: nlpsem results

Documentation:

Reference manual: nlpsem.pdf
Vignettes: getLCSM_examples
getLGCM_examples
getMGM_examples
getMGroup_examples
getMIX_examples
getMediation_examples
getTVC_examples

Downloads:

Package source: nlpsem_0.3.tar.gz
Windows binaries: r-devel: nlpsem_0.3.zip, r-release: nlpsem_0.3.zip, r-oldrel: nlpsem_0.3.zip
macOS binaries: r-release (arm64): nlpsem_0.3.tgz, r-oldrel (arm64): nlpsem_0.3.tgz, r-release (x86_64): nlpsem_0.3.tgz
Old sources: nlpsem archive

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