fingerPro: Sediment Source Fingerprinting

Quantifies the provenance of the sediments in a catchment or study area. Based on a comprehensive characterization of the sediment sources and the end sediment mixtures a mixing model algorithm is applied to the sediment mixtures in order to estimate the relative contribution of each potential source. The package includes several statistical methods such as Kruskal-Wallis test, discriminant function analysis ('DFA'), principal component plot ('PCA') to select the optimal subset of tracer properties. The variability within each sediment source is also considered to estimate the statistical distribution of the sources contribution.

Version: 1.1
Imports: Rcpp (≥ 0.11.3), klaR (≥ 0.6-12), ggplot2 (≥ 2.2.1), GGally (≥ 1.3.2), MASS (≥ 7.3.45), Rcmdr (≥ 2.4-1), plyr (≥ 1.8.4), reshape (≥ 0.8.7), rgl (≥ 0.99.9), grid (≥ 3.1.1), gridExtra (≥ 2.3), scales (≥ 0.5.0), car (≥ 3.0.0), RcppProgress (≥ 0.4)
LinkingTo: Rcpp, RcppGSL, RcppProgress
Published: 2018-08-28
DOI: 10.32614/CRAN.package.fingerPro
Author: Ivan Lizaga [aut, cre], Borja Latorre [aut], Leticia Gaspar [aut], Ana Navas [aut], Vince Q Vu [ctb]
Maintainer: Ivan Lizaga <lizaga.ivan10 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: fingerPro results


Reference manual: fingerPro.pdf


Package source: fingerPro_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): fingerPro_1.1.tgz, r-oldrel (arm64): fingerPro_1.1.tgz, r-release (x86_64): fingerPro_1.1.tgz, r-oldrel (x86_64): fingerPro_1.1.tgz
Old sources: fingerPro archive


Please use the canonical form to link to this page.