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:	1.2.2
Depends:	R (≥ 3.3.0)
Imports:	optimx, lbfgsb3c, BB, ape, numDeriv, plyr, rlang, generics, utils, stats
Suggests:	testthat
Published:	2023-12-10
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_1.2.2.tar.gz
Windows binaries:	r-prerel: glinvci_1.2.2.zip, r-release: glinvci_1.2.2.zip, r-oldrel: glinvci_1.2.2.zip
macOS binaries:	r-prerel (arm64): glinvci_1.2.2.tgz, r-release (arm64): glinvci_1.2.2.tgz, r-oldrel (arm64): glinvci_1.2.2.tgz, r-prerel (x86_64): glinvci_1.2.2.tgz, r-release (x86_64): glinvci_1.2.2.tgz
Old sources:	glinvci archive

Linking:

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