Kernel Based Regression Models
A Transformation of Chi-squared Random Variable
Functions related to mixture Dirichlet distribution
Protein Sequence Kernels
Kernel-based Regression Model Maximum of adjusted Score Test
Kernel-based Regression Models
Adjusted Score Test
Functions related to profile HMM
Functions Related to Sequence Alignment
Read a Fasta Sequence File
Simulate sDataset
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>.