R: Interpolate missing values from a fable model

interpolate.model_mean {fable}

R Documentation

Interpolate missing values from a fable model

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

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

`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.

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

library(tsibbledata)

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

[Package fable version 0.3.0 Index]