computeRobustness: Compute robustness measures
In mpascariu/MortalityForecast: Standard Tools to Compare and Evaluate Various Mortality Forecasting Methods
Description
Usage
Arguments
Author(s)
View source: R/evalRobustness.R
Description
Compute robustness measures
Usage
1
computeRobustness(F1, F2, B1, B2, ND, measures, na.rm = TRUE)
Arguments
F1
Forecast scenario 1.
F2
Forecast scenario 2.
B1
Forecast scenario 1 - benchmark.
B2
Forecast scenario 2 - benchmark.
measures
What robustness measure to compute? Various alternatives are
available,
Mean delta measures: "MD", "MAD", "sMRAD";
Median delta measures: "MdD", "MdAD", "sMdRAD".
na.rm
A logical value indicating whether NA values should be stripped
before the computation proceeds. Default: TRUE.
Author(s)
Marius D. Pascariu
mpascariu/MortalityForecast documentation built on Sept. 28, 2020, 2:40 p.m.
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Description Usage Arguments Author(s)
View source: R/evalRobustness.R
Description
Compute robustness measures
Usage
1 | computeRobustness(F1, F2, B1, B2, ND, measures, na.rm = TRUE)
|
Arguments
F1 |
Forecast scenario 1. |
F2 |
Forecast scenario 2. |
B1 |
Forecast scenario 1 - benchmark. |
B2 |
Forecast scenario 2 - benchmark. |
measures |
What robustness measure to compute? Various alternatives are available,
|
na.rm |
A logical value indicating whether NA values should be stripped
before the computation proceeds. Default: |
Author(s)
Marius D. Pascariu
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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