provenance
4.4Statistical Toolbox for Sedimentary Provenance Analysis
Overview
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.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0712 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 98%
- Documented parameters
- 100%
- Return-value docs
- 92%
- References docs
- 25%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
28 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 4.4Latest
- 4.32024-05-05 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 4.22023-08-28 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 4.12023-03-03 · diff ↗
- 4.02022-06-18 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 3.32021-05-04 · diff ↗
- 3.22021-04-03 · diff ↗
- 3.02021-02-24 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 2.42020-03-19 · diff ↗
Show 24 earlier events
- 2.32019-06-06 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 2.22018-10-06 · diff ↗
- 2.12018-08-03 · diff ↗
- 2.02018-04-24 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 1.92018-01-03 · diff ↗
- 1.82017-11-22 · diff ↗
- 1.72017-05-18 · diff ↗
- 1.62017-05-03 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.52016-04-22 · diff ↗
- 1.42016-03-01 · diff ↗
- 1.32016-02-13 · diff ↗
- 1.22016-01-21 · diff ↗
- 1.12016-01-03 · diff ↗
- 1.02015-12-10 · diff ↗
- 0.62015-09-22 · diff ↗
- 0.52015-09-16 · diff ↗
- 0.32015-08-13 · diff ↗
- 0.22015-06-05 · diff ↗
- 0.12015-05-26
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-05-26
- Total releases
- 28 / 11 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 189 KB / 4 files
- Download size
- 473 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("provenance")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
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