Quantitative trait loci (QTL) analysis in polyploid 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: | 0.0.4 |
Depends: | R (≥ 3.5.0) |
Imports: | abind, doParallel, foreach, Hmisc, knitr, nlme, RColorBrewer, Rcpp (≥ 0.12.19), reshape2, rmarkdown |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | polymapR, mappoly |
Published: | 2020-12-16 |
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_0.0.4.tar.gz |
Windows binaries: | r-devel: polyqtlR_0.0.4.zip, r-release: polyqtlR_0.0.4.zip, r-oldrel: polyqtlR_0.0.4.zip |
macOS binaries: | r-release: polyqtlR_0.0.4.tgz, r-oldrel: polyqtlR_0.0.4.tgz |
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