primates: Example datasets
In corHMM: Analysis of binary character evolution
Description
Example files for running various functions in corHMM. The “primates” dataset comes from the example files provided by BayesTraits, though here we only include a single tree with branch lengths scaled to time. The “primates.paint” dataset is the same, but with the tree painted according to hypothetical regimes. Finally, the “rayDISC.example” dataset provides an example on how polymorphic data can be coded for rayDISC.
Format
a list object that contains a tree of class “phylo” and a dataframe that contains the trait data
References
Pagel, M., and A. Meade. 2006. Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo. American Naturalist 167:808-825.
corHMM documentation built on May 2, 2019, 4:48 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
Example files for running various functions in corHMM. The “primates” dataset comes from the example files provided by BayesTraits, though here we only include a single tree with branch lengths scaled to time. The “primates.paint” dataset is the same, but with the tree painted according to hypothetical regimes. Finally, the “rayDISC.example” dataset provides an example on how polymorphic data can be coded for rayDISC.
Format
a list object that contains a tree of class “phylo” and a dataframe that contains the trait data
References
Pagel, M., and A. Meade. 2006. Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo. American Naturalist 167:808-825.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.