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>).
| Version: | 1.4 |
| Depends: | R (≥ 3.1.0) |
| Imports: | methods, bigmemory, sqldf, biomaRt, KEGGgraph, CompQuadForm, data.table, lattice, igraph |
| Suggests: | testthat |
| Published: | 2020-02-17 |
| Author: | Juliane Manitz [aut], Stefanie Friedrichs [aut], Patricia Burger [aut], Benjamin Hofner [aut], Ngoc Thuy Ha [aut], Saskia Freytag [ctb], Heike Bickeboeller [ctb] |
| Maintainer: | Juliane Manitz <r at manitz.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | kangar00 citation info |
| CRAN checks: | kangar00 results |
| Reference manual: | kangar00.pdf |
| Package source: | kangar00_1.4.tar.gz |
| Windows binaries: | r-devel: kangar00_1.4.zip, r-release: kangar00_1.4.zip, r-oldrel: kangar00_1.4.zip |
| macOS binaries: | r-release: not available, r-oldrel: kangar00_1.4.tgz |
| Old sources: | kangar00 archive |
| Reverse suggests: | mboost |
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