krm (2018.8-17)

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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.

Maintainer: Youyi Fong
Author(s): Youyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb]

License: GPL-2

Uses: kyotil, RUnit, MASS

Released 10 months ago.

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