interpolate.model_mean: Interpolate missing values from a fable model

In fable: Forecasting Models for Tidy Time Series

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 class 'model_mean'
interpolate(object, new_data, specials, ...)

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.

Value

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

Examples

library(tsibbledata)

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

fable documentation built on Sept. 2, 2022, 1:07 a.m.