Package: mvMORPH
Type: Package
Title: Multivariate Comparative Tools for Fitting Evolutionary Models
        to Morphometric Data
Version: 1.2.3
Date: 2026-09-30
Authors@R: c(person(given = "Julien",
                      family = "Clavel",
                      role = c("aut", "cre"),
                      email = "julien.clavel@hotmail.fr"),
               person(given = c("with", "contributions", "from", "Aaron"),
                      family = "King",
                      role = "aut"),
               person(given = "Emmanuel",
                      family = "Paradis",
                      role = "aut"),
               person(given = "Paola",
                      family = "Montoya",
                      role = "aut"))
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC,
        Ornstein-Uhlenbeck and Shifts) models of continuous traits
        evolution on trees and time series. 'mvMORPH' also proposes
        high-dimensional multivariate comparative tools (linear models
        using Generalized Least Squares and multivariate tests) based
        on penalized likelihood and Empirical Bayes approaches.  See
        Clavel et al. (2015) <DOI:10.1111/2041-210X.12420>, Clavel et
        al. (2019) <DOI:10.1093/sysbio/syy045>, Clavel & Morlon (2020)
        <DOI:10.1093/sysbio/syaa010>, and Montoya et al. (2026)
        <DOI:10.1093/sysbio/syag051>.
Depends: R (>= 3.5.0), phytools, ape, corpcor, subplex
Imports: stats, utils, spam, graphics, glassoFast, parallel, pbmcapply,
        pbapply, grDevices
Suggests: knitr, car
License: GPL (>= 2.0)
URL: https://github.com/JClavel/mvMORPH
VignetteBuilder: knitr
NeedsCompilation: yes
Config/pak/sysreqs: libglpk-dev libxml2-dev
Repository: https://jclavel.r-universe.dev
Date/Publication: 2026-10-01 13:05:36 UTC
RemoteUrl: https://github.com/jclavel/mvmorph
RemoteRef: HEAD
RemoteSha: a3a797d6efa3d1e108562ae425609527f6af5778
Packaged: 2026-10-01 13:48:38 UTC; root
Author: Julien Clavel [aut, cre],
  with contributions from Aaron King [aut],
  Emmanuel Paradis [aut],
  Paola Montoya [aut]