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Seasonal Adjustment with TRAMO-SEATS

Source: R/tramoseats.R
tramoseats.Rd

Seasonal Adjustment with TRAMO-SEATS

Usage

tramoseats(
  ts,
  spec = c("rsafull", "rsa0", "rsa1", "rsa2", "rsa3", "rsa4", "rsa5"),
  context = NULL,
  userdefined = NULL
)

tramoseats_fast(
  ts,
  spec = c("rsafull", "rsa0", "rsa1", "rsa2", "rsa3", "rsa4", "rsa5"),
  context = NULL,
  userdefined = NULL
)

.jtramoseats(
  ts,
  spec = c("rsafull", "rsa0", "rsa1", "rsa2", "rsa3", "rsa4", "rsa5"),
  context = NULL,
  userdefined = 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.

context

the dictionnary of variables.

userdefined

a vector containing the additional output variables (see tramoseats_dictionary()).

Value

the tramoseats() function returns a list with the results, the estimation specification and the result specification, while tramoseats_fast() is a faster function that only returns the results. The .jtramoseats() functions only results the java object to custom outputs in other packages (use rjd3toolkit::dictionary() to get the list of variables and rjd3toolkit::result() to get a specific variable).

Examples

library("rjd3toolkit")
sp = tramoseats_spec("rsafull")
y = rjd3toolkit::ABS$X0.2.09.10.M
tramoseats_fast(y, spec = sp)
#> Model: TRAMO-SEATS
#> Log-transformation: yes 
#> SARIMA model: (0,1,1) (0,1,1)
#> 
#> SARIMA coefficients:
#>  theta(1) btheta(1) 
#>   -0.8278   -0.4255 
#> 
#> Regression model:
#>          monday         tuesday       wednesday        thursday          friday 
#>      -0.0109446       0.0048940       0.0001761       0.0132928      -0.0024801 
#>        saturday              lp          easter AO (2000-06-01) AO (2000-07-01) 
#>       0.0153509       0.0410667       0.0503888       0.1681662      -0.1972348 
#> 
#> For a more detailed output, use the 'summary()' function.
sp = add_outlier(sp,
                 type = c("AO"), c("2015-01-01", "2010-01-01"))
sp = set_transform(
  set_tradingdays(
    set_easter(sp, enabled = FALSE),
    option = "workingdays"
  ),
  fun = "None"
)
tramoseats_fast(y, spec = sp)
#> Model: TRAMO-SEATS
#> Log-transformation: no 
#> SARIMA model: (0,1,1) (0,1,1)
#> 
#> SARIMA coefficients:
#>  theta(1) btheta(1) 
#>   -0.8235   -0.2608 
#> 
#> Regression model:
#>          monday         tuesday       wednesday        thursday          friday 
#>        -11.7873          0.2507          3.0039         12.8309         -5.4519 
#>        saturday              lp AO (2010-01-01) AO (2015-01-01) AO (2000-06-01) 
#>         17.2998         33.6083         40.5331        -10.7096        192.7411 
#> AO (2000-07-01) AO (2005-04-01) 
#>       -200.7316       -177.1356 
#> 
#> For a more detailed output, use the 'summary()' function.