Extracts the residuals.
# S3 method for croston residuals(object, ...)
object | The time series model used to produce the forecasts |
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... | Additional arguments for forecast model methods. |
A vector of fitted residuals.
library(tsibble) sim_poisson <- tsibble( time = yearmonth("2012 Dec") + seq_len(24), count = rpois(24, lambda = 0.3), index = time ) sim_poisson %>% model(CROSTON(count)) %>% residuals()#> # A tsibble: 24 x 3 [1M] #> # Key: .model [1] #> .model time .resid #> <chr> <mth> <dbl> #> 1 CROSTON(count) 2013 Jan NA #> 2 CROSTON(count) 2013 Feb -0.336 #> 3 CROSTON(count) 2013 Mar -0.336 #> 4 CROSTON(count) 2013 Apr -0.336 #> 5 CROSTON(count) 2013 May -0.336 #> 6 CROSTON(count) 2013 Jun 1.66 #> 7 CROSTON(count) 2013 Jul -0.396 #> 8 CROSTON(count) 2013 Aug -0.396 #> 9 CROSTON(count) 2013 Sep 0.604 #> 10 CROSTON(count) 2013 Oct 0.582 #> # … with 14 more rows