It has a firm, almost waxy texture, and a mild, delicate flavour. Smart Recipesįor cooking and meal ideas - try Change 4 Life Smart Recipes CauliflowerĪ brassica, like cabbage and broccoli, cauliflower is a mass of tiny, tightly packed flower heads (called curds), which grow from a thick central stem to form a single, round head, cupped by green leaves. If you would like to see what’s in season year-round, and plan your shopping to suit, visit the BBC Good Food Guide Seasonal Calendar .
Otherwise, FALSE.Read below about the seasonal stars that are on your child's school meals menu. Attributes set for unit root, seasonality tests. Suroot.test = 'correlogram' : this function is written based on M4 Competition Seasonality Test.Īssign from ATA.SeasAttr function. Suroot.test = 'ocsb' : the Osborn-Chui-Smith-Birchenhall (1988) test is used (with null hypothesis that a seasonal unit root exists). Suroot.test = 'hegy' : the Hylleberg, Engle, Granger & Yoo (1990) test is used. Suroot.test = 'ch' : the Canova-Hansen (1995) test is used (with null hypothesis of deterministic seasonality) Suroot.test = 'seas' : a measure of seasonal strength is used, where differencing is selected if the seasonal strength (Wang, Smith & Hyndman, 2006) exceeds 0.64 (based on minimizing MASE when forecasting using auto.arima on M3 and M4 data).
#Seasonality core alternatives series
Nsdiffs uses seasonal unit root tests to determine the number of seasonal differences required for time series to be made stationary. Then the test returns the least number of differences required to fail the test at the level uroot.alpha. In both of these cases, the null hypothesis is that x has a unit root against a stationary root alternative. Uroot.test = 'pp' : the Phillips-Perron test is used. Uroot.test = 'adf' : the Augmented Dickey-Fuller test is used. Then the test returns the least number of differences required to pass the test at the level uroot.alpha. Uroot.test = 'kpss' : the KPSS test is used with the null hypothesis that x has a stationary root against a unit-root alternative. Ndiffs uses unit root tests to determine the number of differences required for time series to be made trend stationary. Ndiffs and nsdiffs functions to estimate the number of differences required to make a given time series stationary.
#Seasonality core alternatives manual
Please review manual and vignette documents of latest forecast package. This function is a class of seasonality tests using corrgram_test from ATAforecasting package, ndiffs and nsdiffs functions from forecast package.Īlso, this function is modified version of ndiffs and nsdiffs written by Hyndman et al. Seasonality Tests for The ATAforecasting Description
ATA: Automatic Time Series Analysis and Forecasting using Ata.