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: | 0.9.8 |
Depends: | R (≥ 3.6.0) |
Imports: | GPArotation, limSolve, caTools, shiny, matrixStats |
Published: | 2025-03-25 |
Author: | Michael Dietze [cre, aut, trl], Elisabeth Dietze [ctb] |
Maintainer: | Michael Dietze <michael.dietze at uni-goettingen.de> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | EMMAgeo results |
Reference manual: | EMMAgeo.pdf |
Package source: | EMMAgeo_0.9.8.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-devel (arm64): EMMAgeo_0.9.8.tgz, r-release (arm64): EMMAgeo_0.9.8.tgz, r-oldrel (arm64): EMMAgeo_0.9.8.tgz, r-devel (x86_64): EMMAgeo_0.9.8.tgz, r-release (x86_64): EMMAgeo_0.9.8.tgz, r-oldrel (x86_64): EMMAgeo_0.9.8.tgz |
Old sources: | EMMAgeo archive |
Reverse suggests: | sandbox |
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