The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: not available, 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 |
Please use the canonical form https://CRAN.R-project.org/package=ghcclm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.