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
DOI:	10.32614/CRAN.package.EMMAgeo
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-oldrel (arm64): EMMAgeo_0.9.7.tgz, r-release (x86_64): EMMAgeo_0.9.7.tgz, r-oldrel (x86_64): EMMAgeo_0.9.7.tgz
Old sources:	EMMAgeo archive

Reverse dependencies:

Reverse suggests:

sandbox

Linking:

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