apply_forecast_metric: Determines calibration of an incidence forecast with an...
In sbfnk/ebola.forecast.wa.sl: Code accompanying the manuscript "Assessing the performance of real-time epidemic forecasts: A case study of Ebola in the Western Area region of Sierra Leone, 2014-15" (doi:10.1371/journal.pcbi.1006785).
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Determines calibration of an incidence forecast with an Anderson-Darling test of the randomised PIT histogram.
Usage
1
apply_forecast_metric(x, func, ...)
Arguments
x
a data frame with 'date', 'last_obs', (observed) 'incidence', (predicted) 'cases'and 'sample_id' columns
func
function for forecast assessment
Value
mean and standard deviation of the resulting p values
Author(s)
Sebastian Funk sebastian.funk@lshtm.ac.uk
See Also
calibration sharpness bias
sbfnk/ebola.forecast.wa.sl documentation built on Feb. 18, 2020, 6:19 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Determines calibration of an incidence forecast with an Anderson-Darling test of the randomised PIT histogram.
Usage
1 | apply_forecast_metric(x, func, ...)
|
Arguments
x |
a data frame with 'date', 'last_obs', (observed) 'incidence', (predicted) 'cases'and 'sample_id' columns |
func |
function for forecast assessment |
Value
mean and standard deviation of the resulting p values
Author(s)
Sebastian Funk sebastian.funk@lshtm.ac.uk
See Also
calibration sharpness bias
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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