Implements generalized hybrid contrast coding methods for K-level categorical predictors in linear models as established by Obulezi (2026)[cite: 3]. The package automates design matrix construction mixing dummy indicators and composite group contrasts, checks rank constraints via singular value decomposition, computes closed-form OLS parameter mappings, and estimates robust heteroscedastic covariance matrices[cite: 3].
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-08-08 |
| DOI: | 10.32614/CRAN.package.ghcclm |
| Author: | Okechukwu J. Obulezi [aut, cre] |
| Maintainer: | Okechukwu J. Obulezi <oj.obulezi at unizik.edu.ng> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | ghcclm results |
| Reference manual: | ghcclm.html , ghcclm.pdf |
| Package source: | ghcclm_0.1.0.tar.gz |
| Windows binaries: | r-devel: ghcclm_0.1.0.zip, r-release: ghcclm_0.1.0.zip, r-oldrel: ghcclm_0.1.0.zip |
| macOS binaries: | r-release (arm64): ghcclm_0.1.0.tgz, r-oldrel (arm64): ghcclm_0.1.0.tgz, r-release (x86_64): ghcclm_0.1.0.tgz, r-oldrel (x86_64): ghcclm_0.1.0.tgz |
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