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.
| Version: |
2016.7-9 |
| Depends: |
R (≥ 3.0.0), kyotil |
| Imports: |
methods |
| Suggests: |
RUnit, MASS |
| Published: |
2016-07-10 |
| Author: |
Youyi Fong, Saheli Datta, Krisztian Sebestyen |
| Maintainer: |
Youyi Fong <youyifong at gmail.com> |
| BugReports: |
NA |
| License: |
GPL-2 |
| URL: |
NA |
| NeedsCompilation: |
yes |
| Materials: |
ChangeLog |
| CRAN checks: |
krm results |
Downloads: