End-Member Modelling of Grain-Size Data

Documentation for package ‘EMMAgeo’ version 0.9.8

EMMAgeo-package	End-member modelling algorithm and supporting functions for unmixing grain-size distributions and further compositional 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.
EMMA	End-member modelling analysis algorithm.
EMMAgeo	End-member modelling algorithm and supporting functions for unmixing grain-size distributions and further compositional data.
EMpot	example data
EMrob	example data
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.
GUI	Start GUI for 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.
X	example data