c(person("Peter","Bourke", email = "pbourkey@gmail.com", role = c("aut","cre")),
person("Christine","Hackett", role = "ctb"),
person("Chris","Maliepaard", role = "ctb"),
person("Geert","van Geest", role = "ctb"),
person("Roeland","Voorrips", role = "ctb"),
person("Johan","Willemsen", role = "ctb"))
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>.
Peter Bourke [aut, cre],
Christine Hackett [ctb],
Chris Maliepaard [ctb],
Geert van Geest [ctb],
Roeland Voorrips [ctb],
Johan Willemsen [ctb]

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 more background and to reference the package see <doi:10.1093/bioinformatics/btab574>.

igraph, mappoly (>= 0.3.0), polymapR, rmarkdown

c(person("Norm", "Matloff", email = "matloff@cs.ucdavis.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9179-6785")),
person("Xi", "Cheng", email = "xicheng0821@gmail.com", role = c("aut")),
person("Pete", "Mohanty", email = "pmohanty@stanford.edu", role = c("aut"), comment = c(ORCID = "0000-0001-8531-3345")),
person("Bohdan", "Khomtchouk", email = "bohdan@stanford.edu", role = c("aut")),
person("Matthew", "Kotila", email = "mrkotila@ucdavis.edu", role = c("aut")),
person("Robin", "Yancey", email = "reyancey@ucdavis.edu", role = c("aut")),
person("Robert", "Tucker", email = "ratucker@ucdavis.edu", role = c("aut")),
person("Allan", "Zhao", email = "awxzhao@ucdavis.edu", role = c("aut")),
person("Tiffany", "Jiang", email = "thjiang@ucdavis.edu", role = c("ctb")))
Automate formation and evaluation of polynomial regression models. Provides support for cross-validating categorical variables. The motivation for this package is described in 'Polynomial Regression As an Alternative to Neural Nets' by Xi Cheng, Bohdan Khomtchouk, Norman Matloff, and Pete Mohanty (<arXiv:1806.06850>).
nnet,dummies, parallel, partools, RSpectra, stats, utils
Norm Matloff [aut, cre] (<https://orcid.org/0000-0001-9179-6785>),
Xi Cheng [aut],
Pete Mohanty [aut] (<https://orcid.org/0000-0001-8531-3345>),
Bohdan Khomtchouk [aut],
Matthew Kotila [aut],
Robin Yancey [aut],
Robert Tucker [aut],
Allan Zhao [aut],
Tiffany Jiang [ctb]