EMMA                    End-member modelling analysis algorithm.
EMMAgeo-package         End-member modelling algorithm and supporting
                        functions for unmixing grain-size distributions
                        and further compositional data.
EMpot                   example data
EMrob                   example data
GUI                     Start GUI for EMMA
X                       example data
check.data              Check correctness and consistency of input data
click.limits            Define mode limits by mouse clicks.
convert.units           Convert between phi and micrometers.
create.EM               Create grain-size-distributions.
get.l                   Generate a vector of weight transformation
                        values from l.min to l.max.
get.l.opt               Identify optimum weight transformation value
get.limits              Infer lower and upper mode position limits to
                        define robust end-members.
get.q                   Generate a parameter matrix with q.min and
                        q.max values for robust EMMA.
interpolate.classes     Interpolate data between different classes.
mix.EM                  Function to mix sample spectres.
model.EM                Model all possible end-member scenarios
residual.EM             Calculate a residual end-member loading.
robust.EM               Extract robust end-members
robust.loadings         Extract robust end-member loadings
robust.scores           Extract robust end-member scores.
test.factors            Calculate the initial cumulative explained
                        variance of factors.
test.l                  Test a vector of weight transformation limits
                        for mximum value.
test.l.max              Find maximum possible wight transformation
                        value.
test.parameters         Evaluate influence of model parameters.
test.robustness         Test model robustness.
