Construction of genetic maps in autopolyploid full-sib populations.
Uses pairwise recombination fraction estimation as the first
source of information to sequentially position allelic variants
in specific homologues. For situations where pairwise analysis has
limited power, the algorithm relies on the multilocus likelihood
obtained through a hidden Markov model (HMM). For more detail,
please see  Mollinari and Garcia (2019) <doi:10.1534/g3.119.400378>
and Mollinari et al. (2020) <doi:10.1534/g3.119.400620>.
Rcpp (>= 0.12.6), RCurl, plotly, fields, ggpubr, ggsci,
rstudioapi, scatterplot3d, dplyr, crayon, cli, magrittr,
reshape2, ggplot2, smacof, princurve, dendextend, vcfR, zoo
testthat, RColorBrewer, updog, covr, polymapR, fitPoly

Rcpp (>= 0.12.6), RCurl, fields, ggpubr, ggsci, rstudioapi,
scatterplot3d, dplyr, crayon, cli, magrittr, reshape2, ggplot2,
smacof, princurve, dendextend, vcfR, zoo, plotly

c(person(given = "Marcelo",
family = "Mollinari",
role = c("aut", "cre"),
email = "mmollin@ncsu.edu",
comment = c(ORCID="0000-0002-7001-8498")),
person(given = "Gabriel",
family = "Gesteira",
role = "aut",
email = "gdesiqu@ncsu.edu",
comment = c(ORCID="0000-0002-4106-7346")),
person(given = "Guilhereme",
family = "Pereira",
role = "ctb",
comment = c(ORCID="0000-0002-7106-8630")),
person(given = "Augusto",
family = "Garcia",
role = "ctb",
comment = c(ORCID="0000-0003-0634-3277")),
person(given = "Zhao-Bang",
family = "Zeng",
role = "ctb",
comment = c(ORCID="0000-0002-3115-1149")),
person(given = "Katharine",
family = "Preedy",
role = c("ctb", "cph"),
comment = "MDS ordering algorithm"),
person(given = "Robert",
family = "Gentleman",
role = "cph",
comment = "C code for MLE optimization in src/pairwise_estimation.cpp"),
person(given = "Ross",
family = "Ihaka",
role = "cph",
comment = "C code for MLE optimization in src/pairwise_estimation.cpp"),
person(given = "R Foundation",
role = "cph",
comment = "C code for MLE optimization in src/pairwise_estimation.cpp"),
person(given = "R-core",
role = "cph",
comment = "C code for MLE optimization in src/pairwise_estimation.cpp"))
Rcpp (>= 0.12.6), RcppParallel, RCurl, fields, ggpubr, ggsci,
rstudioapi, scatterplot3d, dplyr, crayon, cli, magrittr,
reshape2, ggplot2, smacof, princurve, dendextend, vcfR, zoo,
plotly
testthat, updog, fitPoly, polymapR, AGHmatrix, gatepoints,
knitr, rmarkdown