Boot.Ratios.MACK: Boot.Ratios.MACK
In EduardoRamosP/MackNet: Mack-Net model: Blending Mack's model with Recurrent Neural Networks
Description
Usage
Arguments
Value
View source: R/Boot.Ratios.MACK.R
Description
It generates the set of link ratios resampled by using the resampled set of MackNet residuals.
Usage
1
Boot.Ratios.MACK(Cumulative.T, Resid.Resampled, Scale.Param, Dev.Factors.AI)
Arguments
Cumulative.T
Cumulative triangle.
Resid.Resampled
MackNet residuals resampled.
Scale.Param
MackNet scale parameter.
Dev.Factors.AI
Predictive development factors obtained from the ensemble of RNNs.
Value
Link ratios resampled randomly.
EduardoRamosP/MackNet documentation built on Sept. 26, 2020, 9:21 a.m.
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Description Usage Arguments Value
View source: R/Boot.Ratios.MACK.R
Description
It generates the set of link ratios resampled by using the resampled set of MackNet residuals.
Usage
1 | Boot.Ratios.MACK(Cumulative.T, Resid.Resampled, Scale.Param, Dev.Factors.AI)
|
Arguments
Cumulative.T |
Cumulative triangle. |
Resid.Resampled |
MackNet residuals resampled. |
Scale.Param |
MackNet scale parameter. |
Dev.Factors.AI |
Predictive development factors obtained from the ensemble of RNNs. |
Value
Link ratios resampled randomly.
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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