krm: Kernel Based Regression Models (original) (raw)
Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence. This package is described in Fong et al. (2015) <doi:10.1093/biostatistics/kxu056>.
| Version: | 2022.10-17 |
|---|---|
| Depends: | R (≥ 3.3.0), kyotil |
| Imports: | methods |
| Suggests: | RUnit, MASS |
| Published: | 2022-10-18 |
| DOI: | 10.32614/CRAN.package.krm |
| Author: | Youyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb] |
| Maintainer: | Youyi Fong |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | |
| In views: | Omics |
| CRAN checks: | krm results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=krmto link to this page.