Other packages > Find by keyword >

nlpsem  

Nonlinear Longitudinal Process in Structural Equation Modeling
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", "0.4")



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: Nonlinear Longitudinal Process in Structural Equation Modeling. R package version 0.4, https://cran.r-project.org/web/packages/nlpsem. Accessed 07 Oct. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA