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. For background, see the 2018 dissertation of P.M. Bourke <doi:10.18174/444415>.

Version: 0.0.6
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: 2021-06-23
Author: Peter Bourke [aut, cre], Christine Hackett [ctb], Chris Maliepaard [ctb], Geert van Geest [ctb], 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

Documentation:

Reference manual: polyqtlR.pdf
Vignettes: How to use polyqtlR

Downloads:

Package source: polyqtlR_0.0.6.tar.gz
Windows binaries: r-devel: polyqtlR_0.0.6.zip, r-devel-UCRT: polyqtlR_0.0.6.zip, r-release: polyqtlR_0.0.6.zip, r-oldrel: polyqtlR_0.0.6.zip
macOS binaries: r-release (arm64): polyqtlR_0.0.6.tgz, r-release (x86_64): polyqtlR_0.0.6.tgz, r-oldrel: polyqtlR_0.0.6.tgz
Old sources: polyqtlR archive

Linking:

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