qtl2: Quantitative Trait Locus Mapping in Experimental Crosses

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. (2018) <doi:10.1534/genetics.118.301595>.

Version: 0.24
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.12.12), 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: 2020-12-18
Author: Karl W Broman ORCID iD [aut, cre], R Core Team [ctb]
Maintainer: Karl W Broman <broman at wisc.edu>
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


Reference manual: qtl2.pdf
Package source: qtl2_0.24.tar.gz
Windows binaries: r-devel: qtl2_0.24.zip, r-devel-UCRT: qtl2_0.24.zip, r-release: qtl2_0.24.zip, r-oldrel: qtl2_0.24.zip
macOS binaries: r-release (arm64): qtl2_0.24.tgz, r-release (x86_64): qtl2_0.24.tgz, r-oldrel: qtl2_0.24.tgz
Old sources: qtl2 archive

Reverse dependencies:

Reverse imports: cape, qtl2convert, qtl2fst, qtl2ggplot
Reverse suggests: qtl2pleio


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