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markophylo: Markov Chain Models for Phylogenetic Trees

Allows for fitting of maximum likelihood models using Markov chains on phylogenetic trees for analysis of discrete character data. Examples of such discrete character data include restriction sites, gene family presence/absence, intron presence/absence, and gene family size data. Hypothesis-driven user- specified substitution rate matrices can be estimated. Allows for biologically realistic models combining constrained substitution rate matrices, site rate variation, site partitioning, branch-specific rates, allowing for non-stationary prior root probabilities, correcting for sampling bias, etc. See Dang and Golding (2016) <doi:10.1093/bioinformatics/btv541> for more details.

Version: 1.0.9
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 0.11.4), ape (≥ 3.2), numDeriv (≥ 2012.9.1), phangorn (≥ 1.99.13), geiger
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (≥ 1.10), testthat (≥ 0.9.1), markdown (> 1.0)
Published: 2023-09-19
DOI: 10.32614/CRAN.package.markophylo
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: markophylo citation info
Materials: NEWS
In views: Phylogenetics
CRAN checks: markophylo results

Documentation:

Reference manual: markophylo.pdf
Vignettes: Markov Chain Analysis on Phylogenetic Trees

Downloads:

Package source: markophylo_1.0.9.tar.gz
Windows binaries: r-devel: markophylo_1.0.9.zip, r-release: markophylo_1.0.9.zip, r-oldrel: markophylo_1.0.9.zip
macOS binaries: r-release (arm64): markophylo_1.0.9.tgz, r-oldrel (arm64): markophylo_1.0.9.tgz, r-release (x86_64): markophylo_1.0.9.tgz, r-oldrel (x86_64): markophylo_1.0.9.tgz
Old sources: markophylo archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=markophylo 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.