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: 1.1.17
Depends: R (≥ 3.3.0)
Imports: Rcgmin, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, utils, stats
Suggests: testthat
Published: 2022-01-07
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

Documentation:

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

Downloads:

Package source: glinvci_1.1.17.tar.gz
Windows binaries: r-devel: glinvci_1.1.17.zip, r-devel-UCRT: glinvci_1.1.17.zip, r-release: glinvci_1.1.17.zip, r-oldrel: glinvci_1.1.17.zip
macOS binaries: r-release (arm64): glinvci_1.1.17.tgz, r-release (x86_64): glinvci_1.1.17.tgz, r-oldrel: glinvci_1.1.16.tgz
Old sources: glinvci archive

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