CL_Ultimate_Reference: CL_Ultimate_Reference
In EduardoRamosP/MackNet: Mack-Net model: Blending Mack's model with Recurrent Neural Networks
Description
Usage
Arguments
Value
View source: R/CL_Ultimate_Reference.R
Description
It calculates the ultimate from CL to be included within the ensemble of RNNs
Usage
1
CL_Ultimate_Reference(Cumulative.T, Exposure, PI_Ratio)
Arguments
Cumulative.T
Cumulative payments triangle.
Exposure
Exposure measure.
PI_Ratio
Cumulative scaled payments triangle divided between the incurred payments triangle
Value
The formula generates the following outputs:
-
X Explanatory variables for training the incurred cost MackNet model.
-
Y Response variable for training the incurred cost MackNet model.
EduardoRamosP/MackNet documentation built on Sept. 26, 2020, 9:21 a.m.
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Description Usage Arguments Value
View source: R/CL_Ultimate_Reference.R
Description
It calculates the ultimate from CL to be included within the ensemble of RNNs
Usage
1 | CL_Ultimate_Reference(Cumulative.T, Exposure, PI_Ratio)
|
Arguments
Cumulative.T |
Cumulative payments triangle. |
Exposure |
Exposure measure. |
PI_Ratio |
Cumulative scaled payments triangle divided between the incurred payments triangle |
Value
The formula generates the following outputs:
-
XExplanatory variables for training the incurred cost MackNet model. -
YResponse variable for training the incurred cost MackNet 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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