Package: polyqtlR
Type: Package
Title: QTL Analysis in Autopolyploid Bi-Parental F1 Populations
Version: 0.0.5
Date: 2021-03-10
Authors@R: c(person("Peter","Bourke", email = "pbourkey@gmail.com", role = c("aut","cre")),
          person("Christine","Hackett", role = "aut"),
             person("Chris","Maliepaard", role = "ctb"),
             person("Geert","van Geest", role = "aut"),
             person("Roeland","Voorrips", role = "ctb"),
             person("Johan","Willemsen", role = "ctb"))
Maintainer: Peter Bourke <pbourkey@gmail.com>
Description: 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>.
Depends: R (>= 3.5.0)
Imports: abind, doParallel, foreach, Hmisc, knitr, nlme, RColorBrewer,
        Rcpp (>= 0.12.19), reshape2
Suggests: igraph, mappoly, polymapR, rmarkdown
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++11
RoxygenNote: 7.1.1
VignetteBuilder: knitr
LazyData: true
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-03-10 20:08:04 UTC; bourk001
Author: Peter Bourke [aut, cre],
  Christine Hackett [aut],
  Chris Maliepaard [ctb],
  Geert van Geest [aut],
  Roeland Voorrips [ctb],
  Johan Willemsen [ctb]
Repository: CRAN
Date/Publication: 2021-03-10 23:10:06 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-12 23:34:48 UTC; windows
Archs: i386, x64
