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