nmm_selection_criteria: nmm_selection_criteria
In benmack/oneClass: One-class classification in the absence of test data
View source: R/nmm_selection_criteria.R
Description
runs a couple of checks which can be used in order to select a model.
Usage
1
2
nmm_selection_criteria(x, un = NULL, nmm = NULL, modRow = NULL,
fnamePlot = NULL)
Arguments
x
an object of class trainOcc
un
...
nmm
the normal mixture (density) models (see also densityMclust
modRow
the model in x used to predict the data with which nmm has been estimated. If null the finalModel (x$finalModel) is used.
fnamePlot
if given the diagnostic is saved to the specified filename (defualt is NULL)
benmack/oneClass documentation built on Dec. 15, 2020, 7:38 p.m.
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View source: R/nmm_selection_criteria.R
Description
runs a couple of checks which can be used in order to select a model.
Usage
1 2 | nmm_selection_criteria(x, un = NULL, nmm = NULL, modRow = NULL,
fnamePlot = NULL)
|
Arguments
x |
an object of class |
un |
... |
nmm |
the normal mixture (density) models (see also |
modRow |
the model in |
fnamePlot |
if given the diagnostic is saved to the specified filename (defualt is |
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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