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POUMM  

The Phylogenetic Ornstein-Uhlenbeck Mixed Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("POUMM", "2.1.7")



Attach the package and use:
library("POUMM")
Maintained by
Venelin Mitov
[Scholar Profile | Author Map]
First Published: 2017-03-11
Latest Update: 2020-10-27
Description:
The Phylogenetic Ornstein-Uhlenbeck Mixed Model (POUMM) allows to estimate the phylogenetic heritability of continuous traits, to test hypotheses of neutral evolution versus stabilizing selection, to quantify the strength of stabilizing selection, to estimate measurement error and to make predictions about the evolution of a phenotype and phenotypic variation in a population. The package implements combined maximum likelihood and Bayesian inference of the univariate Phylogenetic Ornstein-Uhlenbeck Mixed Model, fast parallel likelihood calculation, maximum likelihood inference of the genotypic values at the tips, functions for summarizing and plotting traces and posterior samples, functions for simulation of a univariate continuous trait evolution model along a phylogenetic tree. So far, the package has been used for estimating the heritability of quantitative traits in macroevolutionary and epidemiological studies, see e.g. Bertels et al. (2017) and Mitov and Stadler (2018) . The algorithm for parallel POUMM likelihood calculation has been published in Mitov and Stadler (2019) .
How to cite:
Venelin Mitov (2017). POUMM: The Phylogenetic Ornstein-Uhlenbeck Mixed Model. R package version 2.1.7, https://cran.r-project.org/web/packages/POUMM. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.2.1 (2017-03-11 09:18), 1.2.2 (2017-03-27 15:57), 1.3.0 (2017-06-16 01:06), 1.3.2 (2017-07-02 16:23), 2.1.2 (2018-11-15 18:20), 2.1.5 (2019-03-27 13:20), 2.1.6 (2019-12-05 11:50)
Other packages that cited POUMM R package
View POUMM citation profile
Other R packages that POUMM depends, imports, suggests or enhances
Complete documentation for POUMM
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