fdaPlot: Diagnostics and performance plots
In pmesperanca/mlevcm: ML-based Epidemiological Vector Control Monitoring using FDA techniques for NIRS data
Description
Usage
Arguments
See Also
Description
Displays visual diagnostics information and performance measures
for objects of class fdaModel and fdaModelPred.
Usage
1
2
Arguments
obj
An object of class fdaModel from fdaML_train
or class fdaModelPred from fdaML_predict.
hist_range
A range for the histogram plot in binomial classification.
roc_smoothing
A value for the parameter spar in smooth.spline.
multinom_labels
Labels for the multinomial classes.
See Also
pmesperanca/mlevcm documentation built on March 17, 2021, 10:03 p.m.
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Description Usage Arguments See Also
Description
Displays visual diagnostics information and performance measures
for objects of class fdaModel and fdaModelPred.
Usage
1 2 |
Arguments
obj |
An object of class |
hist_range |
A range for the histogram plot in binomial classification. |
roc_smoothing |
A value for the parameter |
multinom_labels |
Labels for the multinomial classes. |
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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