algo.farrington.assign.weights: Assign weights to base counts
In surveillance: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
View source: R/algo_farrington.R
algo.farrington.assign.weights R Documentation
Assign weights to base counts
Description
Weights are assigned according to the Anscombe residuals
Usage
algo.farrington.assign.weights(s, weightsThreshold=1)
Arguments
s
Vector of standardized Anscombe residuals
weightsThreshold
A scalar indicating when observations are seen
as outlier. In the original Farrington proposal the value was 1
(default value), in the improved version this value is suggested to be 2.58.
Value
Weights according to the residuals
See Also
anscombe.residuals
surveillance documentation built on June 25, 2025, 3:01 p.m.
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View source: R/algo_farrington.R
| algo.farrington.assign.weights | R Documentation |
Assign weights to base counts
Description
Weights are assigned according to the Anscombe residuals
Usage
algo.farrington.assign.weights(s, weightsThreshold=1)
Arguments
s |
Vector of standardized Anscombe residuals |
weightsThreshold |
A scalar indicating when observations are seen as outlier. In the original Farrington proposal the value was 1 (default value), in the improved version this value is suggested to be 2.58. |
Value
Weights according to the residuals
See Also
anscombe.residuals
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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