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: 2018.1-24
Depends: R (≥ 3.3.0), kyotil
Imports: methods
Suggests: RUnit, MASS
Published: 2018-01-24
Author: Youyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb]
Maintainer: Youyi Fong <youyifong at>
License: GPL-2
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: krm results


Reference manual: krm.pdf
Package source: krm_2018.1-24.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: krm_2018.1-24.tgz
OS X Mavericks binaries: r-oldrel: krm_2016.7-9.tgz
Old sources: krm archive


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