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: |
0.22-11 |
| 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: |
2020-07-10 |
| Author: |
Karl W Broman 
[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 |