jmanitz/kangar00: Kernel Approaches for Nonlinear Genetic Association Regression

Methods to extract information on pathways, genes and various single-nucleotid polymorphisms (SNPs) from online databases. It provides functions for data preparation and evaluation of genetic influence on a binary outcome using the logistic kernel machine test (LKMT). Three different kernel functions are offered to analyze genotype information in this variance component test: A linear kernel, a size-adjusted kernel and a network-based kernel).

Getting started

Package details

Maintainer
LicenseGPL-2
Version1.4.2
URL https://kangar00.manitz.org/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jmanitz/kangar00")
jmanitz/kangar00 documentation built on Sept. 16, 2024, 2:14 a.m.