mvMORPH: an R package for fitting multivariate evolutionary models to morphometric data

This package allows the fitting of multivariate evolutionary models (Ornstein-Uhlenbeck, Brownian motion, Early burst, Shift models) on species trees and time series. It also provides functions to compute log-likelihood of users specified models with fast methods (e.g., for Bayesian approaches or customized comparative methods), simulates correlated traits under various models, constrain various parts of multivariate models…

The package implement now efficient methods for high-dimensional multivariate comparative methods (mvgls) based on Penalized likelihood as well as associated tests (Wilks, Pillai…)

The package is designed to handle ultrametric and non-ultrametric trees (i.e. with fossil species) and missing data in multivariate datasets (NA values), SIMMAP mapping of discrete traits, measurement error, etc…

See the packages vignettes for details and examples: browseVignettes(“mvMORPH”).

mvMORPH 1.1.2

  1. This is the version 1.1.2:
  1. TODO:

The current stable version of the mvMORPH package (1.1.1) is on the CRAN repository.

Package Installation

You can install the package directly from gitHub through devtools:


install_github("JClavel/mvMORPH", build_vignettes = TRUE)

(The installation may crash if your dependencies are not up to date. Note that you may also need to install Rtools to compile the C codes included in the package. For [Windows] ( and for [Mac] ( (and [Tools] ( )

Report an issue

Any bugs encountered when using the package can be reported here

Package citation

Clavel, J., Escarguel, G., Merceron, G. 2015. mvMORPH: an R package for fitting multivariate evolutionary models to morphometric data. Methods in Ecology and Evolution, 6(11):1311-1319. DOI: 10.1111/2041-210X.12420

Download version with appended supplementary material.