Torben Tvedebrink <tvede@math.aau.dk> and James Curran
<j.curran@auckland.ac.nz>. Mikkel Meyer Andersen <mikl@math.aau.dk> assisted on
the multicore/CPU implementation.
Computationally efficient tools for comparing all pairs of profiles
in a DNA database. The expectation and covariance of the summary statistic
is implemented for fast computing. Routines for estimating proportions of
close related individuals are available. The use of wildcards (also called F-
designation) is implemented. Dedicated functions ease plotting the results.

Torben Tvedebrink and James Curran. Multicore extension by
Mikkel Meyer Andersen.

Torben Tvedebrink and James Curran. Multicore extension
contribution by Mikkel Meyer Andersen.

Computational efficient tools for comparing all pairs of profiles in a DNA database. The expectation and covariance of the summary statistic
is implemented for fast computing. Routines for estimating proportions of close related individuals are available. The use of wildcards (also
called F-designation) is implemented. Dedicated functions ease plotting the results.

c(
person(given = "Torben", family = "Tvedebrink",
email = "tvede@math.aau.dk", role = c("aut")),
person(given = "James", family = "Curran",
email = "j.curran@auckland.ac.nz", role = c("aut")),
person(given = "Mikkel Meyer", family = "Andersen",
email = "mikl@math.aau.dk", role = c("aut", "cre"))
)
Torben Tvedebrink [aut],
James Curran [aut],
Mikkel Meyer Andersen [aut, cre]

Computationally efficient tools for comparing all pairs of profiles
in a DNA database. The expectation and covariance of the summary statistic
is implemented for fast computing. Routines for estimating proportions of
close related individuals are available. The use of wildcards (also called F-
designation) is implemented. Dedicated functions ease plotting the results.
See Tvedebrink et al. (2012) <doi:10.1016/j.fsigen.2011.08.001>.
Compute the distribution of the numbers of alleles in DNA mixtures.
See Tvedebrink (2013) <doi:10.1016/j.fsigss.2013.10.142>.