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kangar00  

Kernel Approaches for Nonlinear Genetic Association Regression
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Install from CRAN:
install.packages("kangar00")

Install from Github:
library("remotes")
install_github("cran/kangar00")

Install by package version:
library("remotes")
install_version("kangar00", "1.4.2")



Attach the package and use:
library("kangar00")
Maintained by
Juliane Manitz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-27
Latest Update: 2022-12-06
Description:
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, ).
How to cite:
Juliane Manitz (2017). kangar00: Kernel Approaches for Nonlinear Genetic Association Regression. R package version 1.4.2, https://cran.r-project.org/web/packages/kangar00. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0 (2017-04-27 13:41), 1.1 (2017-08-08 12:05), 1.3 (2019-02-10 04:43), 1.4.1 (2022-12-06 09:40), 1.4 (2020-02-17 10:10)
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