calc.stat.err: Calculate Error in SARIMA Fit/Forecast
In predsci/DICE: DICE: Dynamics of Interacting Community Epidemics
Description
Usage
Arguments
Value
Examples
Description
calc.stat.err calculates the error:
mean absolute error, mean relative error and mean error relative to the NULL model for each
month/week for which a fit/forecast was calculated
Usage
1
calc.stat.err(tables = NULL, nfit = NULL, state_id = NULL)
Arguments
tables
A list with all the mydata tables - both observed and fitted/forecasted
nfit
An integer - the number of data points used in the fit
state_id
The abbreviation of the state/region
Value
tables An updated tables list with the nfit row of the SEIR errors filled
Examples
1
calc.stat.err(tables=tables, nfit= nfit, state_id = state_id)
predsci/DICE documentation built on Aug. 9, 2019, 9:41 a.m.
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Description Usage Arguments Value Examples
Description
calc.stat.err calculates the error:
mean absolute error, mean relative error and mean error relative to the NULL model for each
month/week for which a fit/forecast was calculated
Usage
1 | calc.stat.err(tables = NULL, nfit = NULL, state_id = NULL)
|
Arguments
tables |
A list with all the mydata tables - both observed and fitted/forecasted |
nfit |
An integer - the number of data points used in the fit |
state_id |
The abbreviation of the state/region |
Value
tables An updated tables list with the nfit row of the SEIR errors filled
Examples
1 | calc.stat.err(tables=tables, nfit= nfit, state_id = state_id)
|
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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