<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Genetic Linkage Maps in Autopolyploids</dc:title>
  <dc:title>R package mappoly version 0.4.2</dc:title>
  <dc:subject>CRAN Task View: Agriculture (https://CRAN.R-project.org/view=Agriculture)</dc:subject>
  <dc:description>Constructs genetic linkage maps in autopolyploid full-sib populations. 
             Uses pairwise recombination fraction estimation as the first 
             source of information to sequentially position allelic variants 
             in specific homologous chromosomes. For situations where pairwise 
             analysis has limited power, the algorithm relies on the multilocus 
             likelihood obtained through a hidden Markov model (HMM). 
             Methods are described in Mollinari and Garcia (2019) 
             &lt;doi:10.1534/g3.119.400378&gt; and Mollinari et al. (2020) 
             &lt;doi:10.1534/g3.119.400620&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.6), RcppParallel, RCurl, fields, ggpubr, ggsci,
rstudioapi, dplyr, crayon, cli, magrittr, reshape2, ggplot2,
smacof, princurve, dendextend, vcfR, zoo, plotly</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppParallel</dc:relation>
  <dc:relation>Suggests: updog, plot3D, fitPoly, polymapR, AGHmatrix, gatepoints,
knitr, rmarkdown, stringr</dc:relation>
  <dc:creator>Marcelo Mollinari &lt;marcelo.mollinari@proton.me&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Marcelo Mollinari [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-7001-8498&gt;),
  Gabriel Gesteira [aut] (ORCID: &lt;https://orcid.org/0000-0002-4106-7346&gt;),
  Cristiane Taniguti [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-2021-6883&gt;),
  Jeekin Lau [aut] (ORCID: &lt;https://orcid.org/0000-0003-1114-6892&gt;),
  Oscar Riera-Lizarazu [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-7477-4063&gt;),
  Guilherme Pereira [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-7106-8630&gt;),
  Augusto Garcia [ctb] (ORCID: &lt;https://orcid.org/0000-0003-0634-3277&gt;),
  Zhao-Bang Zeng [ctb] (ORCID: &lt;https://orcid.org/0000-0002-3115-1149&gt;),
  Katharine Preedy [ctb, cph] (MDS ordering algorithm),
  Robert Gentleman [cph] (C code for MLE optimization in
    src/pairwise_estimation.cpp),
  Ross Ihaka [cph] (C code for MLE optimization in
    src/pairwise_estimation.cpp),
  R Core Team [cph] (Portions of C/C++ code adapted from R sources; see
    src/pairwise_estimation.cpp),
  R Foundation for Statistical Computing [cph] (Portions of C/C++ code
    adapted from R sources; see src/pairwise_estimation.cpp)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-01-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mappoly</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mappoly</dc:identifier>
</oai_dc:dc>