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.
| Version: | 
1.2.4 | 
| 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  <hello at hckiang.com> | 
| 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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