The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

Version: 1.0.10
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.2), ape (≥ 3.2), numDeriv (≥ 2012.9.1), phangorn (≥ 1.99.13)
LinkingTo: Rcpp
Suggests: testthat
Published: 2023-09-15
DOI: 10.32614/CRAN.package.indelmiss
Author: Utkarsh J. Dang and G. Brian Golding
Maintainer: Utkarsh J. Dang <utkarshdang at cunet.carleton.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: indelmiss citation info
Materials: NEWS
CRAN checks: indelmiss results

Documentation:

Reference manual: indelmiss.pdf

Downloads:

Package source: indelmiss_1.0.10.tar.gz
Windows binaries: r-devel: indelmiss_1.0.10.zip, r-release: indelmiss_1.0.10.zip, r-oldrel: indelmiss_1.0.10.zip
macOS binaries: r-release (arm64): indelmiss_1.0.10.tgz, r-oldrel (arm64): indelmiss_1.0.10.tgz, r-release (x86_64): indelmiss_1.0.10.tgz, r-oldrel (x86_64): indelmiss_1.0.10.tgz
Old sources: indelmiss archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=indelmiss to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.