MorphoTools2: Multivariate Morphometric Analysis

Tools for multivariate analyses of morphological data, wrapped in one package, to make the workflow convenient and fast. Statistical and graphical tools provide a comprehensive framework for checking and manipulating input data, statistical analyses, and visualization of results. Several methods are provided for the analysis of raw data, to make the dataset ready for downstream analyses. Integrated statistical methods include hierarchical classification, principal component analysis, principal coordinates analysis, non-metric multidimensional scaling, and multiple discriminant analyses: canonical, stepwise, and classificatory (linear, quadratic, and the non-parametric k nearest neighbours). The philosophy of the package will be described in Šlenker et al. (in prep).

Depends: R (≥ 2.10)
Imports: ade4, candisc, car, class, ellipse, heplots, MASS, methods, plot3D, StatMatch, utils, vegan, stats
Suggests: testthat, knitr, rmarkdown
Published: 2022-10-31
Author: Marek Šlenker [aut, cre] ( Petr Koutecký [ctb] ( Karol Marhold [ctb] (
Maintainer: Marek Šlenker <marek.slenker at>
License: GPL-3
NeedsCompilation: no
Citation: MorphoTools2 citation info
Materials: README NEWS
CRAN checks: MorphoTools2 results


Reference manual: MorphoTools2.pdf
Vignettes: MorphoTools2_tutorial


Package source: MorphoTools2_1.0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MorphoTools2_1.0.1.0.tgz, r-oldrel (arm64): MorphoTools2_1.0.1.0.tgz, r-release (x86_64): MorphoTools2_1.0.1.0.tgz, r-oldrel (x86_64): MorphoTools2_1.0.1.0.tgz
Old sources: MorphoTools2 archive


Please use the canonical form to link to this page.