stemmatology : an R Stemmatology Package

Package: stemmatology
Type: Package
Title: Stemmatological Analysis of Textual Traditions
Version: 0.3.2
Date: 2019-03-28
Author: Jean-Baptiste Camps ; Florian Cafiero
Maintainer: Jean-Baptiste Camps <jbcamps@hotmail.com>
Description: Explore and analyse the genealogy of textual or musical traditions, from their variants, with various stemmatological methods, mainly the disagreement-based algorithms suggested by Camps and Cafiero (2015) <doi:10.1484/M.LECTIO-EB.5.102565>.
BugReports: https://github.com/Jean-Baptiste-Camps/stemmatology/issues
Imports: graphics, stats, cluster, igraph, xml2
Suggests: 
    testthat,
    knitr,
    rmarkdown,
    covr
License: GPL-3 | file LICENSE
Encoding: UTF-8
NeedsCompilation: no
URL: https://github.com/Jean-Baptiste-Camps/stemmatology
VignetteBuilder: knitr
RoxygenNote: 6.0.1

This repository contains the source file of the development version for the project of a stemmatology package for R. This package already contains functions for the PCC method as described in Camps & Cafiero 2015 (see below, section On the Method), and will implement as well other stemmatological methods (see roadmap at https://graal.hypotheses.org/925).

Installation

You can install stemmatology from CRAN, with:

install.packages("stemmatology")

or, alternatively, if you want the last version, you can install from Github with:

# install.packages("devtools")
devtools::install_github("Jean-Baptiste-Camps/stemmatology")

Utils

Conversion utils, including a TEI_app to csv conversion stylesheet, are available on another repository: https://github.com/Jean-Baptiste-Camps/stemmatology-utils.

Documentation and papers

For the documentation of the main functions, once you have loaded stemmatology, have a look at the R documentation, by typing

?'stemmatology-package'

On the Software

• Camps, Jean-Baptiste, and Florian Cafiero. ‘Stemmatology: An R Package for the Computer-Assisted Analysis of Textual Traditions’. Proceedings of the Second Workshop on Corpus-Based Research in the Humanities (CRH-2), edited by Andrew U. Frank et al., 2018, pp. 65–74.

The paper and the poster can be found in the inst/doc directory.

On the Method

• Camps, Jean-Baptiste, and Florian Cafiero. ‘Genealogical Variant Locations and Simplified Stemma: A Test Case’. Analysis of Ancient and Medieval Texts and Manuscripts: Digital Approaches, edited by Tara Andrews and Caroline Macé, Brepols, 2015, pp. 69–93, https://halshs.archives-ouvertes.fr/halshs-01435633, DOI: http://dx.doi.org/10.1484/M.LECTIO-EB.5.102565.