qtl2: Quantitative Trait Locus Mapping in Experimental Crosses (original) (raw)
Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Version: | 0.36 |
---|---|
Depends: | R (≥ 3.1.0) |
Imports: | Rcpp (≥ 1.0.7), yaml (≥ 2.1.13), jsonlite (≥ 0.9.17), data.table (≥ 1.10.4-3), parallel, stats, utils, graphics, grDevices, RSQLite |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | testthat, devtools, roxygen2, vdiffr, qtl |
Published: | 2024-05-13 |
DOI: | 10.32614/CRAN.package.qtl2 |
Author: | Karl W Broman [aut, cre], R Core Team [ctb] |
Maintainer: | Karl W Broman |
BugReports: | https://github.com/rqtl/qtl2/issues |
License: | GPL-3 |
Copyright: | Code for Brent's method for univariate function optimization was taken from R 3.2.2 (Copyright 1995, 1996 Robert Gentleman and Ross Ihaka, Copyright 2003-2004 The R Foundation, Copyright 1998-2014 The R Core Team). |
URL: | https://kbroman.org/qtl2/, https://github.com/rqtl/qtl2 |
NeedsCompilation: | yes |
Citation: | qtl2 citation info |
Materials: | README NEWS |
CRAN checks: | qtl2 results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=qtl2to link to this page.