Clustered covariate regression enables estimation and inference in both linear and non-linear models with linear predictor functions even when the design matrix is column rank deficient. Routines in this package implement algorithms in Soale and Tsyawo (2019) <doi:10.13140/RG.2.2.32355.81441>.
| Version: | 1.1.0 |
| Imports: | quantreg, MASS, stats, utils |
| Published: | 2019-06-04 |
| DOI: | 10.32614/CRAN.package.cluscov |
| Author: | Emmanuel S Tsyawo [aut, cre], Abdul-Nasah Soale [aut] |
| Maintainer: | Emmanuel S Tsyawo <estsyawo at temple.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | cluscov results |
| Reference manual: | cluscov.pdf |
| Package source: | cluscov_1.1.0.tar.gz |
| Windows binaries: | r-devel: cluscov_1.1.0.zip, r-release: cluscov_1.1.0.zip, r-oldrel: cluscov_1.1.0.zip |
| macOS binaries: | r-release (arm64): cluscov_1.1.0.tgz, r-oldrel (arm64): cluscov_1.1.0.tgz, r-release (x86_64): cluscov_1.1.0.tgz, r-oldrel (x86_64): cluscov_1.1.0.tgz |
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