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.


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install.packages("krm")

2018.8-17 by Youyi Fong, 8 months ago


Browse source code at https://github.com/cran/krm


Authors: Youyi Fong [cre] , Saheli Datta [aut] , Krisztian Sebestyen [aut] , Steve Park [ctb] , Dave Geyer [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports methods

Depends on kyotil

Suggests RUnit, MASS


See at CRAN