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).

Citation

The Methodology Center, Penn State, (2013). Latent Class Causal Analysis (LCCA) Package for R [Data set]. Scholarsphere. https://doi.org/10.26207/2qv7-7j70

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  • Icca.JPG

    size: 13.4 KB | mime_type: image/jpeg | date: 2020-05-22 | sha256: 9bfd702

  • lcca_1.1.0.zip

    size: 2.43 MB | mime_type: application/zip | date: 2020-05-22 | sha256: ada3c5b

  • LICENSE.txt

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  • README.txt

    size: 1.63 KB | mime_type: application/octet-stream | date: 2020-05-22 | sha256: eff68bc

Metadata

Work Title Latent Class Causal Analysis (LCCA) Package for R
Access
Open Access
Creators
  1. The Methodology Center, Penn State
Keyword
  1. latent class analysis
  2. R
  3. 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

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