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indelmiss
View on CRAN: Click
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Download and install indelmiss package within the R console
Install from CRAN:
install.packages("indelmiss")
Install from Github:
library("remotes")
install_github("cran/indelmiss") Install by package version:
library("remotes")
install_version("indelmiss", "1.0.10") Attach the package and use:
library("indelmiss")
Maintained by
Utkarsh J. Dang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-22
Latest Update: 2023-09-15
Description:
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) for more details.
How to cite:
Utkarsh J. Dang (2016). indelmiss: Insertion Deletion Analysis While Accounting for Possible Missing Data. R package version 1.0.10, https://cran.r-project.org/web/packages/indelmiss. Accessed 05 Mar. 2026.
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Complete documentation for indelmiss
Functions, R codes and Examples using
the indelmiss R package
Some associated functions: gardnerelladata . indelmiss-package . indelrates . mycobacteriumdata1 . mycobacteriumdata2 . plot.indelmiss . plotp . plotrates . plottree . print.indelmiss .
Some associated R codes: RcppExports.R . indel-functions.R . Full indelmiss package functions and examples
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