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 underyling distributions and their contribution to the data set. EMMAgeo provides deterministic and robust protocols for that purpose.

Version: 0.9.6
Depends: R (≥ 3.2.1)
Imports: GPArotation, limSolve, caTools, shiny, matrixStats
Published: 2019-05-17
Author: Michael Dietze, Elisabeth Dietze
Maintainer: Michael Dietze <mdietze at gfz-potsdam.de>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: EMMAgeo results

Downloads:

Reference manual: EMMAgeo.pdf
Package source: EMMAgeo_0.9.6.tar.gz
Windows binaries: r-devel: EMMAgeo_0.9.6.zip, r-release: EMMAgeo_0.9.6.zip, r-oldrel: EMMAgeo_0.9.6.zip
OS X binaries: r-release: EMMAgeo_0.9.6.tgz, r-oldrel: EMMAgeo_0.9.6.tgz
Old sources: EMMAgeo archive

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