Returns the one-step-ahead fitted values from a FASSTER model, calculated during the Kalman filtering process. These represent the model's predictions at each time point using only information available up to that point.
Usage
# S3 method for class 'FASSTER'
fitted(object, ...)Examples
library(tsibble)
fit <- as_tsibble(mdeaths) |>
model(FASSTER(value ~ trend(1) + fourier(12)))
# Extract fitted values
fitted(fit)
#> # A tsibble: 72 x 3 [1M]
#> # Key: .model [1]
#> .model index .fitted
#> <chr> <mth> <dbl>
#> 1 FASSTER(value ~ trend(1) + fourier(12)) 1974 Jan 2084.
#> 2 FASSTER(value ~ trend(1) + fourier(12)) 1974 Feb 2047.
#> 3 FASSTER(value ~ trend(1) + fourier(12)) 1974 Mar 1896.
#> 4 FASSTER(value ~ trend(1) + fourier(12)) 1974 Apr 1581.
#> 5 FASSTER(value ~ trend(1) + fourier(12)) 1974 May 1335.
#> 6 FASSTER(value ~ trend(1) + fourier(12)) 1974 Jun 1262.
#> 7 FASSTER(value ~ trend(1) + fourier(12)) 1974 Jul 1211.
#> 8 FASSTER(value ~ trend(1) + fourier(12)) 1974 Aug 1139.
#> 9 FASSTER(value ~ trend(1) + fourier(12)) 1974 Sep 1124.
#> 10 FASSTER(value ~ trend(1) + fourier(12)) 1974 Oct 1376.
#> # ℹ 62 more rows
