cvam: Coarsened Variable Modeling

Extends R's implementation of categorical variables (factors) to handle coarsened observations; implements log-linear models for coarsened categorical data, including latent-class models. Detailed information and examples are provided in the package vignettes.

Version: 0.9.1
Depends: R (≥ 3.3.0)
Imports: stats, Formula, coda
Suggests: nnet, lme4, MASS, xtable
Published: 2021-10-01
Author: Joseph L. Schafer
Maintainer: Joseph L. Schafer <Joseph.L.Schafer at census.gov>
License: GPL-3 | file LICENSE
NeedsCompilation: yes
Citation: cvam citation info
Materials: NEWS ChangeLog
CRAN checks: cvam results

Downloads:

Reference manual: cvam.pdf
Vignettes: Fitting Log-Linear Models in cvam
Understanding Coarsened Factors in cvam
Package source: cvam_0.9.1.tar.gz
Windows binaries: r-devel: cvam_0.9.1.zip, r-devel-UCRT: cvam_0.9.1.zip, r-release: cvam_0.9.1.zip, r-oldrel: cvam_0.9.1.zip
macOS binaries: r-release (arm64): cvam_0.9.1.tgz, r-release (x86_64): cvam_0.9.1.tgz, r-oldrel: cvam_0.9.1.tgz
Old sources: cvam archive

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