CRAN/E | nlpsem

nlpsem

Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework

Installation

About

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) .

github.com/Veronica0206/nlpsem
Bug report File report

Key Metrics

Version 0.3
R ≥ 4.0.0
Published 2023-09-12 390 days ago
Needs compilation? no
License GPL (≥ 3.0)
CRAN checks nlpsem results

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Maintainer

Maintainer

Jin Liu

Authors

Jin Liu

aut / cre

Material

Reference manual
Package source

Vignettes

getLCSM_examples
getLGCM_examples
getMGM_examples
getMGroup_examples
getMIX_examples
getMediation_examples
getTVC_examples

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nlpsem archive

Depends

R ≥ 4.0.0
OpenMx ≥ 2.21.8

Imports

ggplot2
dplyr
tidyr
stringr
Matrix
nnet
readr
methods

Suggests

knitr
rmarkdown