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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.