Phylogenetic Comparative Methods with Uncertainty Estimates

A framework for analytically computing the asymptotic confidence intervals and maximum-likelihood estimates of a class of continuous-time Gaussian branching processes defined by Mitov V, Bartoszek K, Asimomitis G, Stadler T (2019) . The class of model includes the widely used Ornstein-Uhlenbeck and Brownian motion branching processes. The framework is designed to be flexible enough so that the users can easily specify their own sub-models, or re-parameterizations, and obtain the maximum-likelihood estimates and confidence intervals of their own custom models.


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1.1.17 by Hao Chi Kiang, 21 days ago,

Browse source code at

Authors: Hao Chi Kiang [cre, aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcgmin, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, utils, stats

Suggests testthat

See at CRAN