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 |
| Reference manual: | EMMAgeo.pdf |
| Package source: | EMMAgeo_0.9.6.tar.gz |
| Windows binaries: | r-devel: EMMAgeo_0.9.6.zip, r-devel-gcc8: 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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