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) .


Reference manual

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2020.5-20 by Youyi Fong, a year ago

Browse source code at

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