Authors@R: c(person("Jon", "Wakefield", role = c("aut", "cre"),

Title: Objective Bayesian Testing for the Hardy-Weinberg Equilibrium
Description: This package implements the general (multiallelic)
Hardy-Weinberg equilibrium problem from an objective Bayesian
testing standpoint. This aim is achieved through the
identification of a class of priors specifically designed for
this testing problem. A class of intrinsic priors under the
full model is considered. This class is indexed by a tuning
quantity, the training sample size, as discussed in Consonni,
Moreno and Venturini (2010). These priors are objective,
satisfy Savage's continuity condition and have proved to behave
extremely well for many statistical testing problems.

Description: General (multi-allelic) Hardy-Weinberg equilibrium problem from an objective Bayesian testing standpoint. This aim is achieved through the identification of a class of priors specifically designed for this testing problem. A class of intrinsic priors under the full model is considered. This class is indexed by a tuning quantity, the training sample size, as discussed in Consonni, Moreno and Venturini (2010). These priors are objective, satisfy Savage's continuity condition and have proved to behave extremely well for many statistical testing problems.

Title: Exact Tests for Hardy-Weinberg Proportions
Description: Tests whether a set of genotype counts fits the HW expectations.
Exact tests performed by an efficient algorithm. Included test statistics
are likelihood ratio, probability, U-score and Pearsons X2.
Suggests: knitr, knitcitations, adegenet, genetics, parallel

Suggests: knitr, RefManageR, adegenet, genetics, parallel

are likelihood ratio, probability, U-score and Pearson's X2.
Suggests: ggplot2, rmarkdown, knitr, RefManageR, adegenet, genetics,

Title: Tools for Processing and Analysing Files from the Hydrological
Description: Work with model files (setup, input, output) from
the hydrological catchment model HYPE: Streamlined file import and export, standard
evaluation plot routines, diverse post-processing and aggregation routines
Authors@R: c(person("Rene", "Capell", role = c("aut", "cre"), email ="rene.capell@smhi.se"),
person("Conrad", "Brendel", role = "aut", email ="conrad.brendel@smhi.se"),
person("Jafet", "Andersson", role = "ctb"),
person("David", "Gustafsson", role = "ctb"),
person("Jude", list("Musuuza", "Lubega"), role = "ctb"))
Imports: clipr, data.table (>= 1.9.8), dplyr, grDevices, graphics,
hydroGOF, ncdf4, parallel, pbapply, rlang, sf, stats, stringr,
Suggests: rmarkdown, knitr, htmlwidgets, leaflet, leaflet.extras,