terror: TERROR Quality Control of Outliers

View source: R/tramoseats.R

terrorR Documentation

TERROR Quality Control of Outliers

Description

TRAMO for ERRORs (TERROR) controls the quality of the data by checking outliers at the end of the series

Usage

terror(
  ts,
  spec = c("trfull", "tr0", "tr1", "tr2", "tr3", "tr4", "tr5"),
  nback = 1,
  context = NULL
)

Arguments

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.

Value

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.

Examples

terror(rjd3toolkit::ABS$X0.2.09.10.M, nback = 2)

palatej/rjd3tramoseats documentation built on April 17, 2025, 11:29 p.m.