EMMAgeo: End-Member Modelling of Grain-Size Data

End-member modelling analysis of grain-size data is an approach to unmix a data set's underlying distributions and their contribution to the data set. EMMAgeo provides deterministic and robust protocols for that purpose.

Version: 0.9.7
Depends: R (≥ 3.5.0)
Imports: GPArotation, limSolve, caTools, shiny, matrixStats
Published: 2019-12-16
Author: Michael Dietze, Elisabeth Dietze
Maintainer: Michael Dietze <mdietze at gfz-potsdam.de>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: EMMAgeo results

Documentation:

Reference manual: EMMAgeo.pdf

Downloads:

Package source: EMMAgeo_0.9.7.tar.gz
Windows binaries: r-devel: EMMAgeo_0.9.7.zip, r-release: EMMAgeo_0.9.7.zip, r-oldrel: EMMAgeo_0.9.7.zip
macOS binaries: r-release (arm64): EMMAgeo_0.9.7.tgz, r-release (x86_64): EMMAgeo_0.9.7.tgz, r-oldrel: EMMAgeo_0.9.7.tgz
Old sources: EMMAgeo archive

Reverse dependencies:

Reverse imports: eseis
Reverse suggests: sandbox

Linking:

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