EMMAgeo provides a set of functions for end-member modelling analysis
(EMMA) of grain-size data and other cases of compositional data. EMMA
describes a multivariate data set of m samples, each comprising n parameters
(e.g. grain-size classes), as a linear combination of end-member loadings
(the underlying distributions) and end-member scores (the contribution of
each loading to each sample).
EMMA can be run in two principal ways, a deterministic and a robust, including modelling the uncertainties. The deterministic way can be accessed simply with the function
For the robust way there are two protocols that need to be respected. There
is a compact protocol, which is mainly automated but needs adjustments by
the user, and there is an extended protocol, which allows access to all
parameterisation steps of robust EMMA.
The package contains further auxiliary functions to check and prepare input data, test parameters and use a graphic user interface for deterministic EMMA. The package also contains an example data set, comprising meaured grain-size distributions of real world sediment end-members.
Michael Dietze, Elisabeth Dietze
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.