nc_bridge() with
optional AR terms.nc_align() with
ragged-edge diagnostics.nc_aggregate()) and stationarity
transforms (nc_transform()).nc_backtest() with
expanding or rolling windows.nc_dm_test()) with
Harvey-Leybourne-Newbold (1997) finite-sample correction.nc_evaluate()): RMSE, MAE, and
bias.print(), summary(),
plot(), and predict() for all core
objects.
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