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 |
Documentation:
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