Specialized Screen Print Function of intermittentATA model

# S3 method for intermittentATA
report(object, ...)

Arguments

object

An estimated model.

...

Unused.

Value

a summary for the results of the ATAforecasting

Examples

 library(intermittentATA)
 as_tsibble(fmcgData) %>%
     model(crostonata = intermittentATA(value ~ d_trend(type = "M", parQ = 1) + i_trend("A") + intermittent("croston"))) %>% report()
#> Series: value 
#> Model: IntermittentATA[croston, D(2,1,0) (A,M,N), I(3,3,0.2) (A,Ad,N)] 
#> ----------Intermittent ATA Model------------------------ 
#> 
#> Intermittent Type:croston
#> 
#> ----------ATA Model for Demand-------------------------- 
#> 
#> ATA(2,1,0) (A,M,N) 
#> 
#>    model.type: M 
#> 
#>    seasonal.model: no seasonality 
#> 
#>    forecast horizon: 1 
#> 
#>    accuracy.type: sMAPE 
#> 
#> In-Sample Accuracy Measures: 
#> 
#>     sigma2     loglik        MAE        MSE       RMSE        MPE       MAPE 
#>   9.226591 -14.943159   1.103571   3.459972   1.860100 -65.089286  95.267857 
#>      sMAPE       MASE        OWA 
#>  51.191447   1.471429  14.811434 
#> 
#> In-Sample Accuracy Measures: 
#> 
#>        MdAE        MdSE       RMdSE        MdPE       MdAPE      sMdAPE 
#>   0.6166667   0.3872222   0.6222718 -19.0476191  44.0476191  42.2647528 
#> 
#> Out-Sample Accuracy Measures: 
#> 
#>   MAE   MSE  RMSE   MPE  MAPE sMAPE  MASE   OWA 
#>    NA    NA    NA    NA    NA    NA    NA    NA 
#> 
#> Out-Sample Accuracy Measures: 
#> 
#>   MdAE   MdSE  RMdSE   MdPE  MdAPE sMdAPE 
#>     NA     NA     NA     NA     NA     NA 
#> 
#> Information Criteria: 
#> 
#>      AIC     AICc      BIC 
#> 41.88632 83.88632 43.06966 
#> 
#> 
#>    user  system elapsed 
#>   0.002   0.000   0.002 
#> 
#> calculation.time: 0.0021 
#> 
#> 
#> ---------ATA Model for Interval------------------------n
#> ATA(3,3,0.2) (A,Ad,N) 
#> 
#>    model.type: A 
#> 
#>    seasonal.model: no seasonality 
#> 
#>    forecast horizon: 1 
#> 
#>    accuracy.type: sMAPE 
#> 
#> In-Sample Accuracy Measures: 
#> 
#>       sigma2       loglik          MAE          MSE         RMSE          MPE 
#>  171.1457122  -28.0850742    5.4977022   64.1796421    8.0112198 -165.6419376 
#>         MAPE        sMAPE         MASE          OWA 
#>  215.7209845   66.4127496    0.8796323    6.0563144 
#> 
#> In-Sample Accuracy Measures: 
#> 
#>       MdAE       MdSE      RMdSE       MdPE      MdAPE     sMdAPE 
#>  2.4255549  6.0644135  2.4626030 -0.2265625 50.0284531 54.8264964 
#> 
#> Out-Sample Accuracy Measures: 
#> 
#>   MAE   MSE  RMSE   MPE  MAPE sMAPE  MASE   OWA 
#>    NA    NA    NA    NA    NA    NA    NA    NA 
#> 
#> Out-Sample Accuracy Measures: 
#> 
#>   MdAE   MdSE  RMdSE   MdPE  MdAPE sMdAPE 
#>     NA     NA     NA     NA     NA     NA 
#> 
#> Information Criteria: 
#> 
#>       AIC      AICc       BIC 
#>  68.17015 110.17015  69.35350 
#> 
#> 
#>    user  system elapsed 
#>   0.003   0.000   0.003 
#> 
#> calculation.time: 0.0028 
#> 
#>