End-Member Modelling of Grain-Size Data

Documentation for package ‘EMMAgeo’ version 0.9.4

EMMAgeo-package	End-member modelling algorithm and supporting functions for grain-size analysis
check.data	Function to check data consistency.
convert.units	Function to convert between phi and micrometers.
create.EM	Function to create grain-size-distributions.
define.limits	Define mode limits by mouse clicks.
EMMA	Function for end-member modelling analysis.
EMMAgeo	End-member modelling algorithm and supporting functions for grain-size analysis
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	Create 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	Function to interpolate classes.
mix.EM	Function to mix sample spectres.
model.em	Model all possible end-member scenarios.
Mqs.uncertainty	Function to estimate end-member scores uncertainty
rEM	example data
residual.EM	Function to evaluate residual end-member loading.
robust.EM	Function to extract robust end-members.
test.factors	Function to evaluate the initial cumulative explained variance.
test.l	Function to test maximum valid l value.
test.l.max	Function to find maximum possible l value.
test.parameters	Function to evaluate influence of model parameters.
test.robustness	Function to test model robustness.
TR	example data
X	example data