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>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: glinvci results


Reference manual: glinvci.pdf
Vignettes: Getting Started with GLinvCI


Package source: glinvci_1.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): glinvci_1.2.4.tgz, r-oldrel (arm64): glinvci_1.2.4.tgz, r-release (x86_64): glinvci_1.2.4.tgz, r-oldrel (x86_64): glinvci_1.2.4.tgz
Old sources: glinvci archive


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