calc_deviance: calc_deviance
In thepira/cv.glmmLasso: Cross-validation for multi-level lasso
View source: R/calc.lossFunction.r
calc_deviance R Documentation
calc_deviance
Description
Functions for calculating deviance
Usage
calc_deviance(actual, predicted, family = "poisson", ...)
Arguments
actual
actual data values
predicted
predicted data values
family
default value is poisson
...
can receive parameters accepted by dismo::calc.deviance
Details
loss functions written for use in cv.glmmLasso
Value
error between actual versus prediction
Author(s)
Pirapong Jitngamplang, Jared Lander
thepira/cv.glmmLasso documentation built on Dec. 11, 2022, 11:20 p.m.
R Package Documentation
Browse R Packages
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/calc.lossFunction.r
| calc_deviance | R Documentation |
calc_deviance
Description
Functions for calculating deviance
Usage
calc_deviance(actual, predicted, family = "poisson", ...)
Arguments
actual |
actual data values |
predicted |
predicted data values |
family |
default value is poisson |
... |
can receive parameters accepted by dismo::calc.deviance |
Details
loss functions written for use in cv.glmmLasso
Value
error between actual versus prediction
Author(s)
Pirapong Jitngamplang, Jared Lander
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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