Package: Momocs
Type: Package
Title: Shape Analysis of Outlines
Version: 0.2-02
Date: 2012-11-12
Author: Vincent Bonhomme, Sandrine Picq, Julien Claude with
contributions from Dan Dkin, Cedric Gaucherel, Ricardo Kriebel,
Neus Martinez, Marcelo Reginato, Norbert Telmon, Asher
Wishkerman.
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>
Description: Momocs is intended to ease and popularize shape analysis
of outlines (especially using elliptical Fourier analysis). It
mostly hinges on the functions developed in Morphometrics with
R (Claude, 2008). From outline extraction of images and
elliptical Fourier calculation to multivariate analysis and the
visualization of transformations within the morphological
space, Momocs provides a complete and convenient toolkit to
specialists within every field that are, or may be, interested
in morphological comparisons of outlines.
License: GPL (>= 2)
URL: http://www.vincentbonhomme.fr/Momocs
Depends: methods, sp, ReadImages, ade4, spdep, shapes, R(>= 2.15.0)
Collate: global.R Coe.R Coo.R
Packaged: 2012-11-12 03:12:16 UTC; vincent.bonhomme
Repository: CRAN
Date/Publication: 2012-11-12 06:38:38

Depends: methods, sp, jpeg, ade4, spdep, shapes, R(>= 2.15.0)

Depends: methods, sp, jpeg, ade4, spdep, shapes, ape, R(>= 2.15.0)

Imports: methods, ade4, sp, shapes, jpeg, spdep, ape

suggestions and contributions from Cedric Gaucherel, Sarah Ivorra, Ricardo Kriebel,
Neus Martinez, Marcelo Reginato, Evan Saitta, Norbert Telmon, Asher Wishkerman.

Authors@R: c( person("Vincent", "Bonhomme", , "bonhomme.vincent@gmail.com",
c("aut", "cre")), person("Julien", "Claude", , , c("aut")) )
Description: A complete toolkit for morphometrics, from data extraction to multivariate analyses.
Most common 2D morphometrics approaches are included:
outlines, open outlines, configurations of landmarks, traditional morphometrics,
and facilities for data preparation, manipulation and visualization
Momocs allows reproducible, complex morphometric analyses,
paves the way for a pure open-source workflow in R,
and other morphometrics approaches should be easy to plug in,
Imports: ape, dplyr, magrittr, graphics, geometry, geomorph, ggplot2,
Suggests: devtools, knitr, rmarkdown, testthat, covr