Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is
performed by optimising the joint likelihood of all victim samples and
reference individuals. Individual identification probabilities, conditional on
posterior pairing probabilities. 'dvir' is part of the 'ped suite' collection
of packages for pedigree analysis. In particular it uses 'forrel' for
Imports: forrel (>= 1.3.0), pedprobr (>= 0.5.0)
Author: Thore Egeland [aut, cre] (<https://orcid.org/0000-0002-3465-8885>),

person("Thore", "Egeland", , "thore.egeland@nmbu.no", role = c("aut", "cre"),
person("Magnus Dehli", "Vigeland", , "m.d.vigeland@medisin.uio.no", role = "aut",
Description: Joint DNA-based disaster victim identification (DVI), as
described in Vigeland and Egeland (2021)
<doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by
optimising the joint likelihood of all victim samples and reference
individuals. Individual identification probabilities, conditional on
all available information, are derived from the joint solution in the
form of posterior pairing probabilities. 'dvir' is part of the 'ped
suite' collection of packages for pedigree analysis. In particular it
uses 'forrel' for calculation of likelihood ratios.
Imports: forrel (>= 1.4.0), pedprobr (>= 0.6.0)

Title: Faster Computation of Common Statistics and Miscellaneous
Description: Faster versions of base R functions (e.g. mean, standard deviation, covariance, weighted mean), mostly written in C++, along with miscellaneous functions for various purposes (e.g. create histogram with fitted probability density function or probability mass function curve, create body mass index groups, assess linearity assumption in logistic regression).
Depends: R (>= 3.0.0), rbenchmark, microbenchmark
Imports: Rcpp (>= 0.11.0), graphics, stats, MASS

Imports: graphics, MASS, Rcpp (>= 0.12.15), stats, utils

Title: Convenience Functions, Moving Window Statistics, and Graphics
Description: Contains functions that do something convenient (e.g. create BMI categories), functions for calculating moving-window statistics efficiently, and functions for generating various figures (e.g. histograms with fitted probability mass/density function).
Imports: cubature, data.table, ggplot2, graphics, MASS, mvtnorm,
pracma, purrr, Rcpp (>= 0.12.15), stats, survey, utils
Suggests: knitr, microbenchmark, printr, rmarkdown, RcppRoll