The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
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.
| Version: | 4.3 |
| Depends: | R (≥ 2.10), IsoplotR (≥ 6.2) |
| Imports: | MASS, methods |
| Suggests: | transport, T4transport |
| Published: | 2024-05-04 |
| DOI: | 10.32614/CRAN.package.provenance |
| 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 |
| Reference manual: | provenance.pdf |
| Package source: | provenance_4.3.tar.gz |
| Windows binaries: | r-devel: provenance_4.3.zip, r-release: provenance_4.3.zip, r-oldrel: provenance_4.3.zip |
| macOS binaries: | r-release (arm64): provenance_4.3.tgz, r-oldrel (arm64): provenance_4.3.tgz, r-release (x86_64): provenance_4.3.tgz, r-oldrel (x86_64): provenance_4.3.tgz |
| Old sources: | provenance archive |
| Reverse imports: | dirttee |
Please use the canonical form https://CRAN.R-project.org/package=provenance 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.