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: 1.0
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 (≥ 2.1.6)
LinkingTo: Rcpp, RcppGSL
Published: 2018-02-20
Author: Ivan Lizaga [aut, cre], Borja Latorre [aut], Leticia Gaspar [aut], Ana Navas [aut], Vince Q Vu [ctb]
Maintainer: Ivan Lizaga <lizaga.ivan10 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/eead-csic-eesa
NeedsCompilation: yes
CRAN checks: fingerPro results

Downloads:

Reference manual: fingerPro.pdf
Package source: fingerPro_1.0.tar.gz
Windows binaries: r-devel: fingerPro_1.0.zip, r-release: fingerPro_1.0.zip, r-oldrel: fingerPro_1.0.zip
OS X binaries: r-release: fingerPro_1.0.tgz, r-oldrel: not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fingerPro to link to this page.