Different time series model forecast ARIMA, Auto-Arima, SARIMA & HybridForecast
hybridModel <- function(y, models = "aefnst", lambda = NULL, a.args = NULL, e.args = NULL, n.args = NULL, s.args = NULL, t.args = NULL, z.args = NULL, weights = c("equal", "insample.errors", "cv.errors"), errorMethod = c("RMSE", "MAE", "MASE"), rolling = FALSE, cvHorizon = frequency(y), windowSize = 84, horizonAverage = FALSE, parallel = FALSE, num.cores = 2L, verbose = TRUE)
model used are AUTO.ARIMA, ETS , NNETAR, STLM , TBATS, SNAIVE