terror | R Documentation |
TRAMO for ERRORs (TERROR) controls the quality of the data by checking outliers at the end of the series
terror(
ts,
spec = c("trfull", "tr0", "tr1", "tr2", "tr3", "tr4", "tr5"),
nback = 1,
context = NULL
)
ts |
a univariate time series. |
spec |
the model specification. Can be either the name of a predefined specification or a user-defined specification. |
nback |
number of last observations considered for the quality check. |
context |
the dictionnary of variables. |
a mts
object with 7 variables:
actual
the actual data at the end of the series.
forecast
the forecast of the actual data at the end of the series.
error
the absolute errors (= observed - forecasts).
rel.error
relative errors ("scores") : ratios between the forecast
errors and the standard deviation of the forecasts of the last observations
(positive values mean under-estimation).
raw
the transformed series. More especially, if the chosen model implies
a log-transformation, the values are obtained after a log-transformation.
Other transformations, such leap year corrections or length-of periods corrections may also be used.
fraw
the forecast of the transformed series.
efraw
the absolute errors of the transformed series.
terror(rjd3toolkit::ABS$X0.2.09.10.M, nback = 2)
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