clean_forecast: Clean forecast object
In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions
View source: R/class-forecast.R
clean_forecast R Documentation
Clean forecast object
Description
The function makes it possible to silently validate an object. In addition,
it can return a copy of the data and remove rows with missing values.
Usage
clean_forecast(forecast, copy = FALSE, na.omit = FALSE)
Arguments
forecast
A forecast object (a validated data.table with predicted and
observed values).
copy
Logical, default is FALSE. If TRUE, a copy of the input data
is created.
na.omit
Logical, default is FALSE. If TRUE, rows with missing
values are removed.
epiforecasts/scoringutils documentation built on Dec. 11, 2024, 11:12 a.m.
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View source: R/class-forecast.R
| clean_forecast | R Documentation |
Clean forecast object
Description
The function makes it possible to silently validate an object. In addition, it can return a copy of the data and remove rows with missing values.
Usage
clean_forecast(forecast, copy = FALSE, na.omit = FALSE)
Arguments
forecast |
A forecast object (a validated data.table with predicted and observed values). |
copy |
Logical, default is |
na.omit |
Logical, default is |
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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