CRAN/E | kangar00

kangar00

Kernel Approaches for Nonlinear Genetic Association Regression

Installation

About

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 (Friedrichs et al., 2017, doi:10.1155/2017/6742763).

Citation kangar00 citation info

Key Metrics

Version 1.4
R ≥ 3.1.0
Published 2020-02-17 1532 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Juliane Manitz

r@manitz.org

Authors

Juliane Manitz

aut

Stefanie Friedrichs

aut

Patricia Burger

aut

Benjamin Hofner

aut

Ngoc Thuy Ha

aut

Saskia Freytag

ctb

Heike Bickeboeller

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

kangar00 archive

Depends

R ≥ 3.1.0

Imports

methods
bigmemory
sqldf
biomaRt
KEGGgraph
CompQuadForm
data.table
lattice
igraph

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