Package: disclapmix 1.7.4.9910

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).

Authors:Mikkel Meyer Andersen [aut, cre], Poul Svante Eriksen [aut]

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NEWS

# Install 'disclapmix' in R:
install.packages('disclapmix', repos = c('https://mikldk.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mikldk/disclapmix/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

4.32 score 14 scripts 266 downloads 9 exports 5 dependencies

Last updated 1 years agofrom:4ea80a3520. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64WARNINGOct 31 2024
R-4.5-linux-x86_64WARNINGOct 31 2024
R-4.4-win-x86_64WARNINGOct 31 2024
R-4.4-mac-x86_64WARNINGOct 31 2024
R-4.4-mac-aarch64WARNINGOct 31 2024
R-4.3-win-x86_64WARNINGOct 31 2024
R-4.3-mac-x86_64WARNINGOct 31 2024
R-4.3-mac-aarch64WARNINGOct 31 2024

Exports:clusterdistclusterprobcontributor_pairsdisclapmixdisclapmix_adaptivedisclapmix_robustgenerate_mixtureget_rankrank_contributor_pairs

Dependencies:clusterdisclapMASSRcppRcppProgress

Adaptive fitting

Rendered fromadaptive-fitting.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-12-19
Started: 2022-07-08

Introduction

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2022-06-30
Started: 2018-04-20

Mixtures

Rendered frommixtures.Rmdusingknitr::rmarkdownon Oct 31 2024.

Last update: 2019-01-09
Started: 2018-04-22