Three-Step Estimation for Latent Class Analysis

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Documentation for package ‘tseLCA’ version 1.0.2

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

bk2018_params	Default population parameters for the Bakk & Kuha (2018) simulation
coef.tseLCA_both	Extract coefficients from a tseLCA model object
coef.tseLCA_covariate	Extract coefficients from a tseLCA model object
coef.tseLCA_distal	Extract coefficients from a tseLCA model object
coef.tseLCA_measurement	Extract coefficients from a tseLCA model object
draw_classes	Draw latent class memberships from their marginal distribution
draw_classes_given_Zp	Draw latent classes conditional on the covariate (scenario "covariate")
draw_indicators	Draw binary indicators given true class memberships
draw_Zo	Draw a continuous distal outcome given true class memberships (scenario "distal")
draw_Zp	Draw the covariate Zp ~ Uniform{1, 2, 3, 4, 5}
fitZ_from_fit0	Estimate covariate effects with measurement parameters fixed (two-step EM)
fitZ_from_multiLCA	Estimate two-step covariate model via multilevLCA (optional reference path)
generate_all_conditions	Generate datasets for all 18 conditions in the simulation design
generate_data	Generate one dataset following the Bakk & Kuha (2018) simulation design
lca_step1	Fit the LCA measurement model (Step 1)
make_rho	Build the item-response probability matrix for the simulation
mnl_probs	Compute multinomial logistic class probabilities given covariates
plot.tseLCA_both	Plot item-response probability profiles for a tseLCA model
plot.tseLCA_covariate	Plot item-response probability profiles for a tseLCA model
plot.tseLCA_distal	Plot item-response probability profiles for a tseLCA model
plot.tseLCA_measurement	Plot item-response probability profiles for a tseLCA model
print.tseLCA_both	Print a tseLCA model object
print.tseLCA_covariate	Print a tseLCA model object
print.tseLCA_distal	Print a tseLCA model object
print.tseLCA_measurement	Print a tseLCA model object
summary.tseLCA_both	Summarize a tseLCA model object
summary.tseLCA_covariate	Summarize a tseLCA model object
summary.tseLCA_distal	Summarize a tseLCA model object
summary.tseLCA_measurement	Summarize a tseLCA model object
three_step	Three-step LCA estimation with covariates and/or distal outcomes
vcov.tseLCA_both	Extract the variance-covariance matrix from a tseLCA model object
vcov.tseLCA_covariate	Extract the variance-covariance matrix from a tseLCA model object
vcov.tseLCA_distal	Extract the variance-covariance matrix from a tseLCA model object
vcov.tseLCA_measurement	Extract the variance-covariance matrix from a tseLCA model object