The 'pedsuite' is a collection of packages for pedigree
    analysis, covering applications in forensic genetics, medical genetics
    and more. A detailed presentation of the 'pedsuite' is given in the
    book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN: 9780128244302).

A comprehensive collection of tools for creating,
    manipulating and visualising pedigrees and genetic marker data.
    Pedigrees can be read from text files or created on the fly with
    built-in functions. A range of utilities enable modifications like
    adding or removing individuals, breaking loops, and merging pedigrees.
    An online tool for creating pedigrees interactively, based on
    'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>.
    'pedtools' is the hub of the 'pedsuite', a collection of packages for
    pedigree analysis. A detailed presentation of the 'pedsuite' is given
    in the book 'Pedigree Analysis in R' (Vigeland, 2021,
    ISBN:9780128244302).

Sensitivity and power analysis,
  for calculating statistics describing pedigrees from wild populations,
  and for visualizing pedigrees.

Enables direct cloud access to health care decision models hosted on the PRISM server of the Peer Models Network.

Provides functions to perform the peer performance
    analysis of funds' returns as described in Ardia and Boudt (2018) <doi:10.1016/j.jbankfin.2017.10.014>.

Functions for reading, writing, plotting, analysing, and manipulating allelic and haplotypic data, including from VCF files, and for the analysis of population nucleotide sequences and micro-satellites including coalescent analyses, linkage disequilibrium, population structure (Fst, Amova) and equilibrium (HWE), haplotype networks, minimum spanning tree and network, and median-joining networks.

The population proportion using group testing can be estimated by different methods. Four functions including p.mle(), p.gart(), p.burrow() and p.order() are provided to implement four estimating methods including the maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order statistic estimate.