nlpsem0.3 package

Linear and Nonlinear Longitudinal Process in Structural Equation Modeling Framework

figOutput-class

S4 Class for displaying figures

FSOutput-class

S4 Class for estimated factor scores and their standard errors.

getEstimateStats

Calculate p-Values and Confidence Intervals of Parameters for a Fitted...

getFigure

Generate Visualization for Fitted Model

getFitFig

Helper Function to Generate Visualization for a Fitted Model

getIndFS

Derive Individual Factor Scores for Each Latent Variable Included in M...

getLatentKappa

Compute Latent Kappa Coefficient for Agreement between Two Latent Labe...

getLCSM.mxModel

Construct An Object of mxModel for Latent Change Score Model with Time...

getLCSM.output

Extract Point Estimates And Standard Errors of Latent Change Score Mod...

getLCSM

Fit a Latent Change Score Model with a Time-invariant Covariate (If An...

getLGCM.mxModel

Construct An Object of mxModel for Latent Growth Curve Model with Time...

getLGCM.output

Extract Point Estimates and Standard Errors of Latent Growth Curve Mod...

getLGCM

Fit a Latent Growth Curve Model with Time-invariant Covariate (If Any)

getLRT

Perform Bootstrap Likelihood Ratio Test for Comparing Full and Reduced...

getMED.initial

Compute Initial Values for Parameters of Longitudinal Mediation Models

getMED.loadings

Get Factor Loadings for a Longitudinal Mediation Model with Specified ...

getMED.mxModel

Construct An Object of mxModel for Longitudinal Mediation Models To Be...

getMED.output

Extract Point Estimates And Standard Errors of Longitudinal Mediation ...

getMediation

Fit a Longitudinal Mediation Model

getMGM.mxModel

Construct An Object of mxModel for Multivariate Latent Growth Curve Mo...

getMGM.output

Extract Point Estimates And Standard Errors of Multivariate Latent Gro...

getMGM

Fit a Multivariate Latent Growth Curve Model or Multivariate Latent Ch...

getMGroup.initial

Compute Initial Values for Parameters of Multiple-group Models

getMGroup.mxModel

Construct An Object of mxModel for Longitudinal Multiple Group Models ...

getMGroup.output

Extract Point Estimates And Standard Errors of Longitudinal Multiple G...

getMGroup

Fit a Longitudinal Multiple Group Model

getMIX.initial

Compute Initial Values for Parameters of Mixture Models

getMIX.mxModel

Construct An Object of mxModel for Longitudinal Mixture Models To Be E...

getMIX.output

Extract Point Estimates And Standard Errors of Longitudinal Mixture Mo...

getMIX

Fit a Longitudinal Mixture Model

getMIX_MED.loadings

Get Factor Loadings for a Mixture Model or Multiple Group Model with L...

getMIX_MULTI.addpara

Get Additional Parameters Related to Interval-specific Slopes, Interva...

getMIX_MULTI.loadings

Get Factor Loadings for a Mixture Model with MGM as Submodels

getMIX_TVC.info

Get the Time-Varying Covariate (TVC) Information for a Mixture Model o...

getMIX_UNI.addpara

Get Additional Parameters Related to Interval-specific Slopes, Interva...

getMIX_UNI.loadings

Get Factor Loadings for a Mixture Model or Multiple Group Model with U...

getMULTI.addpara

Get Additional Parameters Related to Interval-specific Slopes, Interva...

getMULTI.initial

Compute Initial Values for Parameters of Multivariate Latent Growth Cu...

getMULTI.loadings

Get Factor Loadings for a Multivariate Longitudinal Outcomes with Spec...

getPosterior

Compute Posterior Probabilities, Cluster Assignments, and Model Entrop...

getsub.LCSM_l

Define Latent Change Score Models as Class-specific Models (Submodels)...

getsub.LCSM_m

Define Latent Change Score Models as Class-specific Models (Submodels)...

getsub.LGCM_l

Define Latent Growth Curve Models as Class-specific Models (Submodels)...

getsub.LGCM_m

Define Latent Growth Curve Models as Class-specific Models (Submodels)...

getsub.MED_l

Define Longitudinal Mediation Models as Class-specific Models (Submode...

getsub.MED_m

Define Longitudinal Mediation Models as Class-specific Models (Submode...

getsub.MGM_l

Define Multivariate Latent Growth Curve Models or Multivariate Latent ...

getsub.MGM_m

Define Multivariate Latent Growth Curve Models or Multivariate Latent ...

getsub.TVC_l

Define a Latent Growth Curve Model or Latent Change Score Model with a...

getsub.TVC_m

Define a Latent Growth Curve Model or Latent Change Score Model with a...

getSummary

Summarize Model Fit Statistics for Fitted Models

getTVC.info

Get the Time-Varying Covariate (TVC) Information for a One-group Longi...

getTVC.initial

Compute Initial Values for Parameters of Latent Growth Curve Models or...

getTVC.mxModel

Construct An Object of mxModel for Latent Growth Curve Models or Laten...

getTVC.output

Extract Point Estimates And Standard Errors of Latent Growth Curve Mod...

getTVCmodel

Fit a Latent Growth Curve Model or Latent Change Score Model with Time...

getUNI.addpara

Get Additional Parameters Related to Interval-specific Slopes, Interva...

getUNI.GF

Derive Individual Growth Factors for Latent Growth Curve Models or Lat...

getUNI.initial

Compute Initial Values for Parameters of Latent Growth Curve Models or...

getUNI.loadings

Get Factor Loadings for a Univariate Longitudinal Outcome with Specifi...

KappaOutput-class

S4 Class for kappa statistic with confidence interval and judgment.

ModelSummary-myMxOutput-method

S4 Method for summarizing an optimized MxModel.

ModelSummary

S4 Generic for summarizing an optimized MxModel.

myMxOutput-class

Standard Methods (S4) for the package

postOutput-class

S4 Class for posterior probabilities, membership, entropy, and accurac...

printTable-FSOutput-method

S4 Method for printing estimated factor scores and their standard erro...

printTable-KappaOutput-method

S4 Method for printing kappa statistic with 9595% CI and judgement for...

printTable-myMxOutput-method

S4 Method for printing point estimates with standard errors

printTable-postOutput-method

S4 Method for printing posterior probabilities, membership, entropy, a...

printTable-StatsOutput-method

S4 Method for printing p values and confidence intervals (when applica...

printTable

S4 Generic for displaying output in a table format.

show-figOutput-method

S4 Method for displaying figures.

StatsOutput-class

S4 Class for p values and confidence intervals (when specified).

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>.

  • Maintainer: Jin Liu
  • License: GPL (>= 3.0)
  • Last published: 2023-09-12