fable (version 0.3.2)

interpolate.model_mean: Interpolate missing values from a fable model

Description

Applies a model-specific estimation technique to predict the values of missing values in a tsibble, and replace them.

Usage

# S3 method for model_mean
interpolate(object, new_data, specials, ...)

Value

A tibble of the same dimension of new_data with missing values interpolated.

Arguments

object

The time series model used to produce the forecasts

new_data

A tsibble containing future information used to forecast.

specials

(passed by fabletools::forecast.mdl_df()).

...

Additional arguments for forecast model methods.

Examples

library(tsibbledata)

olympic_running %>%
  model(mean = MEAN(Time)) %>%
  interpolate(olympic_running)