<p>Implements tests for kernel-based regression model. The main function is krm.most(). Both Euclidean and protein sequence covariates can be used to form kernels.</p>

 distribution

krm package

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) <DOI:10.1093/biostatistics/kxu056>.

Youyi Fong

Kernel Based Regression Models

Saheli Datta

Krisztian Sebestyen

Steve Park

Dave Geyer

krm package function

Kernel-based Regression Models — krm package

Kernel-based Regression Models

krm package: Kernel-based Regression Models

Description

Arguments