Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Youyi Fong [cre], Saheli Datta [aut], Krisztian Sebestyen [aut], Steve Park [ctb], Dave Geyer [ctb] |
| Maintainer | Youyi Fong <youyifong@gmail.com> |
| License | GPL-2 |
| Version | 2022.10-17 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the krm package in your browser
Any scripts or data that you put into this service are public.
