polyqtlR: QTL Analysis in Autopolyploid Bi-Parental F1 Populations

Quantitative trait loci (QTL) analysis and exploration of meiotic patterns in autopolyploid bi-parental F1 populations. For all ploidy levels, identity-by-descent (IBD) probabilities can be estimated. Significance thresholds, exploring QTL allele effects and visualising results are provided. The methods have been largely described in the dissertation of P.M. Bourke in 2018 <doi:10.18174/444415>.

Version: 0.0.5
Depends: R (≥ 3.5.0)
Imports: abind, doParallel, foreach, Hmisc, knitr, nlme, RColorBrewer, Rcpp (≥ 0.12.19), reshape2
LinkingTo: Rcpp, RcppArmadillo
Suggests: igraph, mappoly, polymapR, rmarkdown
Published: 2021-03-10
Author: Peter Bourke [aut, cre], Christine Hackett [aut], Chris Maliepaard [ctb], Geert van Geest [aut], Roeland Voorrips [ctb], Johan Willemsen [ctb]
Maintainer: Peter Bourke <pbourkey at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: polyqtlR results


Reference manual: polyqtlR.pdf
Vignettes: How to use polyqtlR
Package source: polyqtlR_0.0.5.tar.gz
Windows binaries: r-devel: polyqtlR_0.0.5.zip, r-devel-UCRT: polyqtlR_0.0.5.zip, r-release: polyqtlR_0.0.5.zip, r-oldrel: polyqtlR_0.0.5.zip
macOS binaries: r-release (arm64): polyqtlR_0.0.5.tgz, r-release (x86_64): polyqtlR_0.0.5.tgz, r-oldrel: polyqtlR_0.0.5.tgz
Old sources: polyqtlR archive


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