glinvci: Phylogenetic Comparative Methods with Uncertainty Estimates (original) (raw)
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.
Version: | 1.2.4 |
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Depends: | R (≥ 3.3.0) |
Imports: | optimx, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, generics, utils, stats |
Suggests: | testthat |
Published: | 2024-04-18 |
DOI: | 10.32614/CRAN.package.glinvci |
Author: | Woodrow Kiang [cre, aut] |
Maintainer: | Woodrow Kiang |
License: | GPL-3 |
URL: | https://git.sr.ht/~hckiang/glinvci,https://github.com/hckiang/glinvci |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | glinvci results |
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