Package: indelmiss 1.0.10

Utkarsh J. Dang

indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data

Genome-wide gene insertion and deletion rates can be modelled in a maximum likelihood framework with the additional flexibility of modelling potential missing data using the models included within. These models simultaneously estimate insertion and deletion (indel) rates of gene families and proportions of "missing" data for (multiple) taxa of interest. The likelihood framework is utilized for parameter estimation. A phylogenetic tree of the taxa and gene presence/absence patterns (with data ordered by the tips of the tree) are required. See Dang et al. (2016) <doi:10.1534/genetics.116.191973> for more details.

Authors:Utkarsh J. Dang and G. Brian Golding

indelmiss_1.0.10.tar.gz
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indelmiss_1.0.10.tar.gz(r-4.7-arm64)indelmiss_1.0.10.tar.gz(r-4.7-x86_64)indelmiss_1.0.10.tar.gz(r-4.6-arm64)indelmiss_1.0.10.tar.gz(r-4.6-x86_64)
indelmiss_1.0.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
indelmiss/json (API)

# Install 'indelmiss' in R:
install.packages('indelmiss', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.11 score 13 scripts 299 downloads 6 exports 20 dependencies

Last updated from:43874bb400. Checks:10 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK126
source / vignettesOK164
linux-release-arm64OK111
linux-release-x86_64OK125
windows-devel-arm64OK326
windows-devel-x86_64OK161
windows-release-arm64OK197
windows-release-x86_64OK104
wasm-releaseOK115

Exports:indelratesplot.indelmissplotpplotratesplottreeprint.indelmiss

Dependencies:apeclicpp11digestfastmatchgenericsglueigraphlatticelifecyclemagrittrMatrixnlmenumDerivphangornpkgconfigquadprogRcpprlangvctrs