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nlpsem  

Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework
View on CRAN: Click here


Download and install nlpsem package within the R console
Install from CRAN:
install.packages("nlpsem")

Install from Github:
library("remotes")
install_github("cran/nlpsem")

Install by package version:
library("remotes")
install_version("nlpsem", "0.3")



Attach the package and use:
library("nlpsem")
Maintained by
Jin Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-29
Latest Update: 2023-09-12
Description:
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) .
How to cite:
Jin Liu (2023). nlpsem: Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework. R package version 0.3, https://cran.r-project.org/web/packages/nlpsem. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:25), 0.1.0 (2023-05-29 19:20), 0.1.1 (2023-06-04 14:20), 0.2.0 (2023-08-15 09:20), 0.2.1 (2023-08-23 02:20), 0.3 (2023-09-13 00:20)
Other packages that cited nlpsem R package
View nlpsem citation profile
Other R packages that nlpsem depends, imports, suggests or enhances
Complete documentation for nlpsem
Functions, R codes and Examples using the nlpsem R package
Some associated functions: FSOutput-class . KappaOutput-class . ModelSummary-myMxOutput-method . ModelSummary . RMS_dat . StatsOutput-class . figOutput-class . getEstimateStats . getFigure . getFitFig . getIndFS . getLCSM.mxModel . getLCSM . getLCSM.output . getLGCM.mxModel . getLGCM . getLGCM.output . getLRT . getLatentKappa . getMED.initial . getMED.loadings . getMED.mxModel . getMED.output . getMGM.mxModel . getMGM . getMGM.output . getMGroup.initial . getMGroup.mxModel . getMGroup . getMGroup.output . getMIX.initial . getMIX.mxModel . getMIX . getMIX.output . getMIX_MED.loadings . getMIX_MULTI.addpara . getMIX_MULTI.loadings . getMIX_TVC.info . getMIX_UNI.addpara . getMIX_UNI.loadings . getMULTI.addpara . getMULTI.initial . getMULTI.loadings . getMediation . getPosterior . getSummary . getTVC.info . getTVC.initial . getTVC.mxModel . getTVC.output . getTVCmodel . getUNI.GF . getUNI.addpara . getUNI.initial . getUNI.loadings . getsub.LCSM_l . getsub.LCSM_m . getsub.LGCM_l . getsub.LGCM_m . getsub.MED_l . getsub.MED_m . getsub.MGM_l . getsub.MGM_m . getsub.TVC_l . getsub.TVC_m . myMxOutput-class . postOutput-class . printTable-FSOutput-method . printTable-KappaOutput-method . printTable-StatsOutput-method . printTable-myMxOutput-method . printTable-postOutput-method . printTable . show-figOutput-method . 
Some associated R codes: FitFig_helper.R . LCSM.mxModel_helper.R . LCSM.output_helper.R . LGCM.mxModel_helper.R . LGCM.output_helper.R . MED.Initial_helper.R . MED.loading_helper.R . MED.mxModel_helper.R . MED.output_helper.R . MGM.mxModel_helper.R . MGM.output_helper.R . MGroup.SUBMODEL.LCSM_helper.R . MGroup.SUBMODEL.LGCM_helper.R . MGroup.SUBMODEL.MED_helper.R . MGroup.SUBMODEL.MGM_helper.R . MGroup.SUBMODEL.TVC_helper.R . MGroup.initial_helper.R . MGroup.mxModel_helper.R . MGroup.output_helper.R . MIX.SUBMODEL.LCSM_helper.R . MIX.SUBMODEL.LGCM_helper.R . MIX.SUBMODEL.MED_helper.R . MIX.SUBMODEL.MGM_helper.R . MIX.SUBMODEL.TVC_helper.R . MIX.initial_helper.R . MIX.mxModel_helper.R . MIX.output_helper.R . MIX_MED.loading_helper.R . MIX_MULTI.addpara_helper.R . MIX_MULTI.loading_helper.R . MIX_TVC.info_helper.R . MIX_UNI.addpara_helper.R . MIX_UNI.loading_helper.R . MULTI.addpara_helper.R . MULTI.initial_helper.R . MULTI.loading_helper.R . RMS_dat.R . StandardMethods.R . TVC.info_helper.R . TVC.initial_helper.R . TVC.mxModel_helper.R . TVC.output_helper.R . UNI.GF_helper.R . UNI.addpara_helper.R . UNI.initial_helper.R . UNI.loading_helper.R . getEstimateStats.R . getFigure.R . getIndFS.R . getLCSM.R . getLGCM.R . getLRT.R . getLatentKappa.R . getMGM.R . getMGroup.R . getMIX.R . getMediation.R . getPosterior.R . getSummary.R . getTVCmodel.R . global_vars.R .  Full nlpsem package functions and examples
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