Tools, Measures and Statistical Tests for Cultural Evolution

Provides tools for measuring the compositionality of signalling systems (in particular the information-theoretic measure due to Spike (2016) < http://hdl.handle.net/1842/25930> and the Mantel test for distance matrix correlation (after Dietz 1983) ), functions for computing string and meaning distance matrices as well as an implementation of the Page test for monotonicity of ranks (Page 1963) with exact p-values up to k = 22.


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The cultevo R package provides tools, measures and statistical tests often used in the study of cultural evolution, in particular for measuring the compositionality of signalling systems as well as computing string and meaning distance matrices. It also provides an accurate implementation of Page's test for monotonicity of ranks.

See the Function reference for a full list of functions.

Installation

In order to install the latest development version you first need the devtools package

install.packages("devtools")

then install the latest code from the github repository via

devtools::install_github("kevinstadler/cultevo")

Citation

This package can be cited as:

A BibTeX entry for LaTeX users is

  @Manual{cultevo,
    title = {cultevo: Tools, Measures and Statistical Tests for Cultural Evolution},
    author = {Kevin Stadler},
    year = {2018},
    note = {R package version 1.0.2},
    url = {https://kevinstadler.github.io/cultevo/}
  }

License

This project is licensed under the terms of the MIT license, Copyright (c) 2014-2018 Kevin Stadler.

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Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("cultevo")

1.0.2 by Kevin Stadler, 10 months ago


https://kevinstadler.github.io/cultevo/


Report a bug at https://github.com/kevinstadler/cultevo/issues


Browse source code at https://github.com/cran/cultevo


Authors: Kevin Stadler [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports combinat, grDevices, graphics, Hmisc, pspearman, stats, stringi, utils

Suggests memoise, knitr, rmarkdown


See at CRAN