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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