Package: krm LazyLoad: yes LazyData: yes Version: 2022.10-17 Title: Kernel Based Regression Models Authors@R: c(person("Youyi", "Fong", role = "cre", email = "youyifong@gmail.com"), person("Saheli", "Datta", role = "aut", email = "saheli8@gmail.com"), person("Krisztian", "Sebestyen", role = "aut", email = "ksebestyen@gmail.com"), person("Steve", "Park", role = "ctb"), person("Dave", "Geyer", role = "ctb")) Depends: R (>= 3.3.0), kyotil Suggests: RUnit, MASS Imports: methods Description: 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) . License: GPL-2 NeedsCompilation: yes Packaged: 2026-06-10 08:23:56 UTC; root Author: Youyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb] Maintainer: Youyi Fong Repository: https://youyifong.r-universe.dev Date/Publication: 2022-10-18 06:40:11 UTC RemoteUrl: https://github.com/cran/krm RemoteRef: HEAD RemoteSha: 96e5c5c18e6e0d200c568863888587694c71619b