R: End-Member Modelling of Grain-Size Data

# End-Member Modelling of Grain-Size Data

## Documentation for package ‘EMMAgeo’ version 0.9.9

- DESCRIPTION file
- Package NEWS

## Help Pages

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