krm

Kernel Based Regression Models

v2022.10-17 · Oct 18, 2022 · GPL-2

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) <DOI:10.1093/biostatistics/kxu056>.

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14 OK

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Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	48.6s
r-devel-linux-x86_64-debian-gcc	OK	34.5s
r-devel-linux-x86_64-fedora-clang	OK	83.7s
r-devel-linux-x86_64-fedora-gcc	OK	72.3s
r-devel-macos-arm64	OK	16s
r-devel-windows-x86_64	OK	96s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	39s
r-oldrel-windows-x86_64	OK	106s
r-patched-linux-x86_64	OK	45s
r-release-linux-x86_64	OK	42.1s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	52s
r-release-windows-x86_64	OK	94s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Version History

new 2022.10-17 Mar 10, 2026

updated 2022.10-17 ← 2020.5-20 diff Oct 17, 2022

updated 2020.5-20 ← 2019.12-11 diff May 20, 2020

updated 2019.12-11 ← 2018.8-17 diff Dec 9, 2019

updated 2018.8-17 ← 2018.1-24 diff Aug 17, 2018

updated 2018.1-24 ← 2016.7-9 diff Jan 23, 2018

updated 2016.7-9 ← 2015.3-4 diff Jul 9, 2016

updated 2015.3-4 ← 2014.12-1 diff Mar 3, 2015

updated 2014.12-1 ← 13.11-03 diff Dec 1, 2014

updated 13.11-03 ← 13.10-31 diff Nov 4, 2013

new 13.10-31 Nov 2, 2013