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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.

Versions across snapshots

VersionRepositoryFileSize
1.2.4 rolling source/ R- glinvci_1.2.4.tar.gz 375.7 KiB
1.2.4 rolling linux/jammy R-4.5 glinvci_1.2.4.tar.gz 680.7 KiB
1.2.4 rolling linux/noble R-4.5 glinvci_1.2.4.tar.gz 690.4 KiB
1.2.4 latest source/ R- glinvci_1.2.4.tar.gz 375.7 KiB
1.2.4 latest linux/jammy R-4.5 glinvci_1.2.4.tar.gz 680.7 KiB
1.2.4 latest linux/noble R-4.5 glinvci_1.2.4.tar.gz 690.4 KiB
1.2.4 2026-04-23 source/ R- glinvci_1.2.4.tar.gz 375.7 KiB
1.2.4 2026-04-09 windows/windows R-4.5 glinvci_1.2.4.zip 1.0 MiB
1.2.4 2025-04-20 source/ R- glinvci_1.2.4.tar.gz 375.7 KiB

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