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: |
1.1.18 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
Rcgmin, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, utils, stats |
| Suggests: |
testthat |
| Published: |
2022-03-16 |
| Author: |
Hao Chi Kiang [cre, aut] |
| Maintainer: |
Hao Chi 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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