README.md

In CJangelo/CLCM: Estimate Confirmatory Latent Class Models

CLCM - Confirmatory Latent Class Models

CLCM, an R package for estimating confirmatory latent class models with clinical data types.

Description

Estimate confirmatory latent class models for a variety of item response types that are encountered in the clinical field. One or two timepoints are supported. Latent regression estimation can be performed, allowing for comparisons of longitudinal latent class assignments (e.g., treatment success/failure) across observed groups (e.g., treatment arms in clinical trials). Fit statistics (C2, AIC/BIC) are available as well.

Installation

You can install the released version of CLCM from github:

install.packages('devtools')
library(devtools)
devtools::install_github("CJangelo/CLCM")

The goal is to release this package on CRAN - I am looking for volunteers to help me with testing required to support a CRAN submission.

Examples

For concise examples of how these models can be applied to clinical data, see the Vignettes under Articles at the top of this page.

License

This R package is free and open source software (License: GPL (>= 3)).

CJangelo/CLCM documentation built on May 22, 2022, 9:27 a.m.