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].
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ghcclm_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ghcclm_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
rolling source/ R- | ghcclm_0.1.0.tar.gz |
4.0 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ghcclm_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | ghcclm_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
latest source/ R- | ghcclm_0.1.0.tar.gz |
4.0 KiB |
0.1.0 |
2026-04-23 source/ R- | ghcclm_0.1.0.tar.gz |
0 B |