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>
License: GPL-2
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: krm results

Downloads:

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

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