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:

Reference manual:

krm.html , krm.pdf

Downloads:

Package source:	krm_2022.10-17.tar.gz
Windows binaries:	r-devel: krm_2022.10-17.zip, r-release: krm_2022.10-17.zip, r-oldrel: krm_2022.10-17.zip
macOS binaries:	r-release (arm64): krm_2022.10-17.tgz, r-oldrel (arm64): krm_2022.10-17.tgz, r-release (x86_64): krm_2022.10-17.tgz, r-oldrel (x86_64): krm_2022.10-17.tgz
Old sources:	krm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=krm to link to this page.