Package: ghcclm 0.1.0
ghcclm: Generalized Hybrid Contrast Coding in Linear Models
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].
Authors:
ghcclm_0.1.0.tar.gz
ghcclm_0.1.0.zip(r-4.7-any)ghcclm_0.1.0.zip(r-4.6-any)ghcclm_0.1.0.zip(r-4.5-any)
ghcclm_0.1.0.tgz(r-4.6-any)ghcclm_0.1.0.tgz(r-4.5-any)
ghcclm_0.1.0.tar.gz(r-4.7-any)ghcclm_0.1.0.tar.gz(r-4.6-any)
ghcclm_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ghcclm/json (API)
| # Install 'ghcclm' in R: |
| install.packages('ghcclm', repos = c('https://obulezi-oj.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1bfe035d57. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 96 | ||
| source / vignettes | OK | 136 | ||
| linux-release | OK | 101 | ||
| macos-release | OK | 98 | ||
| macos-oldrel | OK | 97 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 58 | ||
| wasm-release | OK | 69 |
Exports:build_ghc_matrixghc_lm
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate Generalized Hybrid Design Matrix | build_ghc_matrix |
| Fit Linear Models via Generalized Hybrid Contrast Coding | ghc_lm |