Depends: R (>= 2.15.1), methods, plotrix
Description: Inference of population sizes using a binomial likelihood
and least informative discrete uniform priors.

Title: Bayesian inference from count data using discrete uniform priors
Description: Inference of population sizes using a binomial likelihood and least informative discrete uniform priors.

Packaged: 2014-12-29 15:18:44 UTC; mauriziorinaldi

Title: Identify Duplicated R Code in a Project
Author: Russ Hyde, University of Glasgow
Description: Identifies code blocks that have a high level of similarity
Suggests: testthat, knitr, rmarkdown, tidyr
Imports: dplyr, purrr, tibble, magrittr, methods, stringdist (>=

Title: Mixed Proportional Hazard Competing Risk Model
Authors@R: person("Simen", "Gaure", email="simen@gaure.no", role=c("aut","cre"),
Description: Estimation of mixed proportional hazard competing risk model.
The model is described in S. Gaure et al. (2007) <doi:10.1016/j.jeconom.2007.01.015>,
Imports: Rcpp (>= 1.0.1), stats, utils, numDeriv, nloptr, parallel,

Description: Estimation of mixed proportional hazard competing risk model with NPMLE.

Description: Estimation of piecewise constant mixed proportional hazard competing risk model with NPMLE.

Title: Discrete variations of a fractional Brownian motion
Description: Hurst exponent estimation of a fractional Brownian motion
by using discrete variations methods in presence of outliers
Packaged: Fri Nov 20 14:34:09 2009; jeff

person("Thore", "Egeland", email = "thore.egeland@nmbu.no",
person("Magnus Dehli", "Vigeland", email = "m.d.vigeland@medisin.uio.no",
Description: Joint DNA-based disaster victim identification (DVI), as described in
Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Joint
Victim identification is performed by optimising the joint likelihood of all
genotyped 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' ecosystem
for pedigree analysis, and relies in particular on 'forrel' for computation
Imports: forrel (>= 1.3.0), pedprobr (>= 0.4.0)
Magnus Dehli Vigeland [aut] (<https://orcid.org/0000-0002-9134-4962>)