rxAIC: Calculates Akaike's Information Criterium (AIC) from a model...
In RevoEnhancements/RevoEnhancements: Selected enhancements to Revolution Analytics RevoScaleR
Description
Usage
Arguments
Value
See Also
Examples
Description
Calculates Akaike's Information Criterium (AIC) from a model object.
Usage
1
rxAIC(object, k = 2)
Arguments
object
Model object, the result of
rxLogit,
rxLinMod or
rxGlm
k
numeric, the penalty per parameter to be used;
the default k = 2 is the classical AIC
Value
Numeric
See Also
Other Model summary statistics: rxF1score;
rxLinPredError
Examples
1
2
3
4
5
6
library(RevoScaleR)
sampleDataDir <- rxGetOption("sampleDataDir")
airline <- file.path(sampleDataDir, "AirlineDemoSmall.xdf")
frm <- formulaExpand(ArrDelay ~ ., airline)
model <- rxLinMod(frm, airline)
rxAIC(model)
RevoEnhancements/RevoEnhancements documentation built on May 9, 2019, 9:46 a.m.
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Description Usage Arguments Value See Also Examples
Description
Calculates Akaike's Information Criterium (AIC) from a model object.
Usage
1 | rxAIC(object, k = 2)
|
Arguments
object |
Model object, the result of
|
k |
numeric, the penalty per parameter to be used; the default k = 2 is the classical AIC |
Value
Numeric
See Also
Other Model summary statistics: rxF1score;
rxLinPredError
Examples
1 2 3 4 5 6 | library(RevoScaleR)
sampleDataDir <- rxGetOption("sampleDataDir")
airline <- file.path(sampleDataDir, "AirlineDemoSmall.xdf")
frm <- formulaExpand(ArrDelay ~ ., airline)
model <- rxLinMod(frm, airline)
rxAIC(model)
|
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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