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) <DOI:10.1093/biostatistics/kxu056>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2022.10-17 |
rolling linux/jammy R-4.5 | krm_2022.10-17.tar.gz |
129.5 KiB |
2022.10-17 |
rolling linux/noble R-4.5 | krm_2022.10-17.tar.gz |
131.4 KiB |
2022.10-17 |
rolling source/ R- | krm_2022.10-17.tar.gz |
44.6 KiB |
2022.10-17 |
latest linux/jammy R-4.5 | krm_2022.10-17.tar.gz |
129.5 KiB |
2022.10-17 |
latest linux/noble R-4.5 | krm_2022.10-17.tar.gz |
131.4 KiB |
2022.10-17 |
latest source/ R- | krm_2022.10-17.tar.gz |
44.6 KiB |
2022.10-17 |
2026-04-26 source/ R- | krm_2022.10-17.tar.gz |
44.6 KiB |
2022.10-17 |
2026-04-23 source/ R- | krm_2022.10-17.tar.gz |
44.6 KiB |
2022.10-17 |
2026-04-09 windows/windows R-4.5 | krm_2022.10-17.zip |
480.9 KiB |
2022.10-17 |
2025-04-20 source/ R- | krm_2022.10-17.tar.gz |
44.6 KiB |