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glinvci  

Phylogenetic Comparative Methods with Uncertainty Estimates
View on CRAN: Click here


Download and install glinvci package within the R console
Install from CRAN:
install.packages("glinvci")

Install from Github:
library("remotes")
install_github("cran/glinvci")

Install by package version:
library("remotes")
install_version("glinvci", "1.2.2")



Attach the package and use:
library("glinvci")
Maintained by
Woodrow Kiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-22
Latest Update: 2023-08-24
Description:
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) . 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.
How to cite:
Woodrow Kiang (2021). glinvci: Phylogenetic Comparative Methods with Uncertainty Estimates. R package version 1.2.2, https://cran.r-project.org/web/packages/glinvci
Previous versions and publish date:
1.1.4 (2021-09-22 17:00), 1.1.16 (2021-12-21 12:20), 1.1.17 (2022-01-07 14:53), 1.1.18 (2022-03-16 08:50), 1.1.20 (2022-11-16 09:40), 1.1.21 (2022-11-30 09:10), 1.2.1 (2023-08-24 12:00), 1.2.2 (2023-12-10 21:20)
Other packages that cited glinvci R package
View glinvci citation profile
Other R packages that glinvci depends, imports, suggests or enhances
Functions, R codes and Examples using the glinvci R package
Some associated functions: clone_model . fit.glinv . get_restricted_ou . glinv . glinv_gauss . glinvci . grad . has_tipvals . hess . lik . marginal_ci . nparams_ou . ou_haltlost . oupar . parameter_restriction . reexports . rglinv . set_tips . varest . 
Some associated R codes: deriv_missing.R . glinvci.R . graph.R . missingness.R . ou.R . restrictions.R . utils.R .  Full glinvci package functions and examples
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