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.

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Package details

AuthorYouyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb]
MaintainerYouyi Fong <[email protected]>
Package repositoryView on CRAN
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krm documentation built on Aug. 18, 2018, 9:03 a.m.