R: Differential Identification using Mixture Ensemble

# Differential Identification using Mixture Ensemble

## Documentation for package ‘DIME’ version 1.3.0

- DESCRIPTION file

## Help Pages

DIME | DIME (Differential Identification using Mixtures Ensemble)
DIME.classify | Classification Based on The Best Model
DIME.package | DIME (Differential Identification using Mixtures Ensemble)
DIME.plot | Plot Best Model Goodness of Fit
DIME.plot.fit | Plot Best Model Goodness of Fit
DIME_package | DIME (Differential Identification using Mixtures Ensemble)
gng.classify | Classification Based on GNG Model
gng.fit | Function for Fitting GNG model parameters
gng.plot.comp | Plot GNG Individual Components
gng.plot.fit | Plot GNG Goodness of Fit
gng.plot.mix | Plot GNG Mixture Component Function
gng.plot.qq | QQ-plot of GNG model vs. observed data
huber | Huber's weight function
inudge.classify | Classification Based on iNUDGE Model
inudge.fit | Function for Fitting iNUDGE model parameters
inudge.plot.comp | Plot iNUDGE Individual Components
inudge.plot.fit | Plot iNUDGE Goodness of Fit
inudge.plot.mix | Plot iNUDGE Mixture Component Function
inudge.plot.qq | QQ-plot of GNG model vs. observed data
nudge.classify | Classification Based on NUDGE Model
nudge.fit | Function for Fitting NUDGE model parameters
nudge.plot.comp | Plot NUDGE Individual Components
nudge.plot.fit | Plot NUDGE Goodness of Fit
nudge.plot.mix | Plot NUDGE Mixture Component Function
nudge.plot.qq | QQ-plot of GNG model vs. observed data