CRAN/E | provenance

provenance

Statistical Toolbox for Sedimentary Provenance Analysis

Installation

About

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.

Citation provenance citation info
www.ucl.ac.uk/~ucfbpve/provenance/

Key Metrics

Version 4.3
R ≥ 2.10
Published 2024-05-04 161 days ago
Needs compilation? no
License GPL-2
CRAN checks provenance results

Downloads

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Maintainer

Maintainer

Pieter Vermeesch

Authors

Pieter Vermeesch

aut / cre

Material

README
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

provenance archive

Depends

R ≥ 2.10
IsoplotR ≥ 6.2

Imports

MASS
methods

Suggests

transport
T4transport

Reverse Imports

dirttee