provenance: Statistical Toolbox for Sedimentary Provenance Analysis

Bundles a number of established statistical methods to facilitate the visual interpretation of large datasets in sedimentary geology. Includes functionality for adaptive kernel density estimation, principal component analysis, correspondence analysis, multidimensional scaling, generalised procrustes analysis and individual differences scaling using a variety of dissimilarity measures. Univariate provenance proxies, such as single-grain ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov, Kuiper or Sircombe-Hazelton L2 distances. Categorical provenance proxies such as chemical compositions are compared with the Aitchison and Bray-Curtis distances, and point-counting data with the chi-square distance. Also included are tools to plot compositional and point-counting data on ternary diagrams and point-counting data on radial plots, to calculate the sample size required for specified levels of statistical precision, and to assess the effects of hydraulic sorting on detrital compositions. Includes an intuitive query-based user interface for users who are not proficient in R.

Version: 4.0
Depends: R (≥ 3.0.0)
Imports: MASS, methods, IsoplotR
Published: 2022-06-18
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch at ucl.ac.uk>
License: GPL-2
URL: https://www.ucl.ac.uk/~ucfbpve/provenance/
NeedsCompilation: no
Citation: provenance citation info
Materials: README
CRAN checks: provenance results

Documentation:

Reference manual: provenance.pdf

Downloads:

Package source: provenance_4.0.tar.gz
Windows binaries: r-devel: provenance_4.0.zip, r-release: provenance_4.0.zip, r-oldrel: provenance_4.0.zip
macOS binaries: r-release (arm64): provenance_4.0.tgz, r-oldrel (arm64): provenance_4.0.tgz, r-release (x86_64): provenance_4.0.tgz, r-oldrel (x86_64): provenance_4.0.tgz
Old sources: provenance archive

Linking:

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