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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. (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 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

Documentation:

Reference manual: qtl2.pdf

Downloads:

Package source: qtl2_0.36.tar.gz
Windows binaries: r-devel: qtl2_0.36.zip, r-release: qtl2_0.36.zip, r-oldrel: qtl2_0.36.zip
macOS binaries: r-release (arm64): qtl2_0.36.tgz, r-oldrel (arm64): qtl2_0.36.tgz, r-release (x86_64): qtl2_0.36.tgz, r-oldrel (x86_64): qtl2_0.36.tgz
Old sources: qtl2 archive

Reverse dependencies:

Reverse imports: cape, qtl2convert, qtl2fst, qtl2ggplot, qtl2pattern
Reverse suggests: mmconvert, qtl2pleio

Linking:

Please use the canonical form https://CRAN.R-project.org/package=qtl2 to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.