Some functions useful to perform a Peak Over Threshold analysis in univariate and bivariate cases. A user's guide is avalaible within the doc folder of the package or at my webpage.

Some functions useful to perform a Peak Over Threshold analysis in univariate and bivariate cases. A user's guide is avalaible.

Some functions useful to perform a Peak Over Threshold
analysis in univariate and bivariate cases. A user's guide is
avalaible.

Mathieu Ribatet [aut], Christophe Dutang [ctb,cre]
Some functions useful to perform a Peak Over Threshold
analysis in univariate and bivariate cases, see Beirlant et al. (2004)
<doi:10.1002/0470012382>. A user guide is available in the vignette.

Some functions useful to perform a Peak Over Threshold
analysis in univariate and bivariate cases. A user's guide is
available.

Mathieu Ribatet [aut], Christophe Dutang [ctb]

Some functions useful to perform a Peak Over Threshold
analysis in univariate and bivariate cases, see Beirlant et al. (2004)
<doi:10.1002/0470012382>. A user's guide is available.

Some functions useful to perform a Peak Over Threshold
analysis in univariate and bivariate cases, see Beirlant et al. (2004)
<doi:10.1002/0470012382>. A users guide is available in the vignette.

The Phylogenetic Ornstein-Uhlenbeck Mixed Model
person("Venelin", "Mitov", email = "vmitov@gmail.com",
role = c("aut", "cre", "cph"))
Combined maximum likelihood and Bayesian inference of the
univariate Phylogenetic Ornstein-Uhlenbeck Mixed Model; Fast POUMM likelihood
calculation. Maximum likelihood inference of the genotypic values
at the tips of a phylogeny assuming that the trait has evolved on it
according to a POUMM with specified genotypic value at the root.
Functions for summarizing and plotting the inference results;
Functions for simulation of univariate continuous trait evolution along a
phylogenetic tree.
ape, data.table, coda, foreach, ggplot2, gsl, Matrix
testthat, TreeSim (>= 2.2), Rmpfr, mvtnorm, lmtest, knitr,
rmarkdown, parallel, doParallel

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 POUMM 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 along a phylogenetic tree. A quick example on
using the POUMM package can be found in the README. More elaborate
examples and use-cases are provided in the vignette
"A User Guide to The POUMM R-package".
ape, data.table, coda, foreach, ggplot2, GGally, gsl, Matrix