Histogram plot of the residuals values
res_hist(forecast.obj)
forecast.obj | A fitted or forecasted object (of the forecast package) with residuals output |
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# NOT RUN { library(forecast) data(USgas) # Set the horizon of the forecast h <- 12 # split to training/testing partition split_ts <- ts_split(USgas, sample.out = h) train <- split_ts$train test <- split_ts$test # Create forecast object fc <- forecast(auto.arima(train, lambda = BoxCox.lambda(train)), h = h) # Plot the fitted and forecasted vs the actual values res_hist(forecast.obj = fc) # }