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. This package is described in Fong et al. (2015)
- Version2022.10-17
- R version≥ 3.3.0
- LicenseGPL-2
- Needs compilation?Yes
- Last release10/18/2022
Documentation
Team
Youyi Fong
Saheli Datta
Show author detailsRolesAuthorKrisztian Sebestyen
Show author detailsRolesAuthorSteve Park
Show author detailsRolesContributorDave Geyer
Show author detailsRolesContributor
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- Depends2 packages
- Imports1 package
- Suggests2 packages