disclapmix: Discrete Laplace Mixture Inference using the EM Algorithm

Make inference in a mixture of discrete Laplace distributions using the EM algorithm. This can e.g. be used for modelling the distribution of Y chromosomal haplotypes as described in [1, 2] (refer to the URL section).

Version: 1.7.4
Imports: Rcpp (≥ 0.11), disclap (≥ 1.4), cluster (≥ 1.14.4), MASS, stats, graphics, methods, utils
LinkingTo: Rcpp, RcppProgress
Suggests: knitr, ggplot2, gridExtra, ggdendro, scales, seriation, fwsim, testthat, rmarkdown
Published: 2022-06-29
DOI: 10.32614/CRAN.package.disclapmix
Author: Mikkel Meyer Andersen [aut, cre], Poul Svante Eriksen [aut]
Maintainer: Mikkel Meyer Andersen <mikl at math.aau.dk>
BugReports: https://github.com/mikldk/disclapmix/issues
License: GPL-2 | file LICENSE
URL: http://dx.doi.org/10.1016/j.jtbi.2013.03.009 https://arxiv.org/abs/1304.2129
NeedsCompilation: yes
SystemRequirements: C++11
Citation: disclapmix citation info
Materials: README NEWS
CRAN checks: disclapmix results


Reference manual: disclapmix.pdf
Vignettes: Introduction


Package source: disclapmix_1.7.4.tar.gz
Windows binaries: r-devel: disclapmix_1.7.4.zip, r-release: disclapmix_1.7.4.zip, r-oldrel: disclapmix_1.7.4.zip
macOS binaries: r-release (arm64): disclapmix_1.7.4.tgz, r-oldrel (arm64): disclapmix_1.7.4.tgz, r-release (x86_64): disclapmix_1.7.4.tgz, r-oldrel (x86_64): disclapmix_1.7.4.tgz
Old sources: disclapmix archive

Reverse dependencies:

Reverse suggests: disclapmix2


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