interpolate.TSLM: Interpolate missing values from a fable model

View source: R/lm.R

interpolate.TSLMR Documentation

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 'TSLM'
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(lm = TSLM(Time ~ trend())) %>%
  interpolate(olympic_running)

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