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: | 0.9.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, Formula, coda |
| Suggests: | nnet, lme4, MASS, xtable |
| Published: | 2021-10-18 |
| 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 |
| Reference manual: | cvam.pdf |
| Vignettes: |
Fitting Log-Linear Models in cvam Understanding Coarsened Factors in cvam |
| Package source: | cvam_0.9.2.tar.gz |
| Windows binaries: | r-devel: cvam_0.9.2.zip, r-release: cvam_0.9.2.zip, r-oldrel: cvam_0.9.2.zip |
| macOS binaries: | r-release (arm64): cvam_0.9.2.tgz, r-oldrel (arm64): cvam_0.9.2.tgz, r-release (x86_64): cvam_0.9.2.tgz, r-oldrel (x86_64): cvam_0.9.2.tgz |
| Old sources: | cvam archive |
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