msefun.binomial: Deviances for hold out data in cross validation
In extlasso: Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
msefun.binomial R Documentation
Deviances for hold out data in cross validation
Description
The function computes deviances for hold out data of ith fold
Usage
msefun.binomial(lambda1,f1,xi,yi)
Arguments
lambda1
value of lambda
f1
A fitted ‘extlasso’ object
xi
Hold out data of predictor variables
yi
Hold out data of response variables
Details
This function is internal and used by cross validation routines.
Value
A value of deviance
Author(s)
B N Mandal and Jun Ma
extlasso documentation built on May 13, 2022, 9:08 a.m.
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| msefun.binomial | R Documentation |
Deviances for hold out data in cross validation
Description
The function computes deviances for hold out data of ith fold
Usage
msefun.binomial(lambda1,f1,xi,yi)
Arguments
lambda1 |
value of lambda |
f1 |
A fitted ‘extlasso’ object |
xi |
Hold out data of predictor variables |
yi |
Hold out data of response variables |
Details
This function is internal and used by cross validation routines.
Value
A value of deviance
Author(s)
B N Mandal and Jun Ma
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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