glinvci - 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)
<doi:10.1016/j.tpb.2019.11.005>. 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.
