Latent Class Causal Analysis (LCCA) Package for R

This R package was developed by the Methodology Center to allow R users to perform latent class causal analysis (LCCA), latent class analysis (LCA), and LCA with covariates. LCA describes relationships among a set of categorical variables by assuming that they are conditionally independent given an unobserved categorical variable. The lcca.r package uses imputing estimating equations to estimate the average causal effects of a latent exposure (i.e., latent class) on a normally-distributed outcome variable. LCCA combines aspects of latent class analysis with Rubin's causal model (Rubin, 1974; 2005).

Files

Metadata

Work Title Latent Class Causal Analysis (LCCA) Package for R
Access
Open Access
Creators The Methodology Center, Penn State
Version number 1
Keyword latent class analysis; R; latent class causal analysis
License All rights reserved
Work Type Software Or Program Code
Publication Date 2013
DOI doi:10.26207/2qv7-7j70
Deposited May 22, 2020 11:56

Analytics

Collections

Work History

Version 1
published

  • Created
  • Added Icca.JPG
  • Added LICENSE.txt
  • Added lcca_1.1.0.zip
  • Added README.txt
  • Added Creator The Methodology Center, Penn State
  • Published