The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

SPARTAAS: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro(perioclust): Bellanger Lise, Coulon Arthur, Husi Philippe (2021, ISBN:978-3-030-60103-4). mapclust: Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>. seriograph: Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>. cerardat: Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.

Version: 1.2.1
Depends: R (≥ 4.1.0)
Imports: FactoMineR, grDevices, dplyr, tidyr, ggplot2, plotly, stringr, colorspace, crayon, shiny, shinydashboard, shinyjs, shinyjqui, fpc, ggdendro, htmltools, rstudioapi, htmlwidgets, shinythemes, explor, shinyWidgets, scatterD3, sp, ks, foreign, grid, cluster, leaflet, ape, mapview, MASS, ade4, lmtest, nor1mix, shinycssloaders, scales, fastcluster
Suggests: knitr, rmarkdown
Published: 2023-06-06
Author: Arthur Coulon [aut, cre], Lise Bellanger [aut], Philippe Husi [aut], Bruno Desachy [ctb], Benjamin Martineau [ctb]
Maintainer: Arthur Coulon <arthur-coulon at outlook.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://spartaas.gitpages.huma-num.fr/r-package/
NeedsCompilation: no
CRAN checks: SPARTAAS results

Documentation:

Reference manual: SPARTAAS.pdf

Downloads:

Package source: SPARTAAS_1.2.1.tar.gz
Windows binaries: r-devel: SPARTAAS_1.2.1.zip, r-release: SPARTAAS_1.2.1.zip, r-oldrel: SPARTAAS_1.2.1.zip
macOS binaries: r-release (arm64): SPARTAAS_1.2.1.tgz, r-oldrel (arm64): SPARTAAS_1.2.1.tgz, r-release (x86_64): SPARTAAS_1.2.1.tgz, r-oldrel (x86_64): SPARTAAS_1.2.1.tgz
Old sources: SPARTAAS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SPARTAAS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.