Package: nlpsem 0.3

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) <arxiv:2302.03237v2>.

Authors:Jin Liu [aut, cre]

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Bug tracker:https://github.com/veronica0206/nlpsem/issues

On CRAN:

17 exports 203 stars 5.39 score 56 dependencies 14 scripts 236 downloads

Last updated 1 years agofrom:8020dc61e5. Checks:OK: 7. Indexed: yes.

Exports:getEstimateStatsgetFiguregetIndFSgetLatentKappagetLCSMgetLGCMgetLRTgetMediationgetMGMgetMGroupgetMIXgetPosteriorgetSummarygetTVCmodelModelSummaryprintTableshow

Dependencies:BHbitbit64clicliprcolorspacecpp11crayondigestdplyrfansifarvergenericsggplot2gluegtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmennetOpenMxpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenRcppParallelreadrrlangrpfscalesStanHeadersstringistringrtibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr