krm: Kernel Based Regression Models
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 <youyifong at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| Materials: |
ChangeLog |
| In views: |
Omics |
| CRAN checks: |
krm results |
Documentation:
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