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provenance  

Statistical Toolbox for Sedimentary Provenance Analysis
View on CRAN: Click here


Download and install provenance package within the R console
Install from CRAN:
install.packages("provenance")

Install from Github:
library("remotes")
install_github("cran/provenance")

Install by package version:
library("remotes")
install_version("provenance", "4.4")



Attach the package and use:
library("provenance")
Maintained by
Pieter Vermeesch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-26
Latest Update: 2025-01-12
Description:
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, Wasserstein-2 or Sircombe-Hazelton L2 distances. Categorical provenance proxies such as chemical compositions are compared with the Aitchison and Bray-Curtis distances,and count data with the chi-square distance. Varietal data can either be converted to one or more distributional datasets, or directly compared using the multivariate Wasserstein distance. Also included are tools to plot compositional and count 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.
How to cite:
Pieter Vermeesch (2015). provenance: Statistical Toolbox for Sedimentary Provenance Analysis. R package version 4.4, https://cran.r-project.org/web/packages/provenance. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1 (2015-05-26 09:38), 0.2 (2015-06-05 11:33), 0.3 (2015-08-13 19:21), 0.5 (2015-09-16 10:05), 0.6 (2015-09-22 00:49), 1.0 (2015-12-10 23:06), 1.1 (2016-01-03 22:35), 1.2 (2016-01-21 18:35), 1.3 (2016-02-13 00:55), 1.4 (2016-03-01 10:43), 1.5 (2016-04-22 08:40), 1.6 (2017-05-03 22:57), 1.7 (2017-05-18 17:25), 1.8 (2017-11-22 13:20), 1.9 (2018-01-03 05:09), 2.0 (2018-04-24 14:15), 2.1 (2018-08-03 19:40), 2.2 (2018-10-06 12:30), 2.3 (2019-06-06 20:50), 2.4 (2020-03-19 23:30), 3.0 (2021-02-24 16:40), 3.2 (2021-04-03 11:10), 3.3 (2021-05-04 23:10), 4.0 (2022-06-18 08:50), 4.1 (2023-03-03 13:10), 4.2 (2023-08-28 15:20), 4.3 (2024-05-05 00:10)
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