methods-formula: Extract GARCH Model formula

Description Details Methods Note Author(s) Examples

Description

Extracts formula from a formula GARCH object.

Details

The function extracts the @formula expression slot from an object of class "fGARCH" as returned by the function garchFit.

Note, the returned formula has always a left hand side. If the argument data was an univariate time series and no name was specified to the series, then the left hand side has assigned the name of the data.set. In the multivariate case the rectangular data object must always have column names, otherwise the fitting will be stopped and you get the error message

The class of the returned value depends on the input to the function garchFit who created the object. The returned value is always of the same class as the input object to the argument data in the function garchFit, i.e. if you fit a "timeSeries" object, you will get back from the function fitted also a "timeSeries" object, if you fit an object of class "zoo", you will get back again a "zoo" object. The same holds for a "numeric" vector, for a "data.frame", and for objects of class "ts", "mts".

In contrast, the slot itself returns independent of the class of the data input always a numceric vector, i.e. the function call rslot(object, "fitted") will return a numeric vector.

Methods

object = "ANY"

Generic function.

object = "fGARCH"

Extractor function for formula expression.

Note

formula is a generic function which extracts the formula expression from objects returned by modeling functions.

Author(s)

Diethelm Wuertz for the Rmetrics R-port.

Examples

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## garchFit -
   fit = garchFit(~garch(1, 1), data = garchSim())
   
## formula - 
   formula(fit)

## A Bivariate series and mis-specified formula:
   x = garchSim(n = 500)
   y = garchSim(n = 500)
   z = cbind(x, y)
   colnames(z)
   class(z)
   ## Not run: 
   garchFit(z ~garch(1, 1), data = z, trace = FALSE)
   
## End(Not run)
   # Returns:
   # Error in .garchArgsParser(formula = formula, data = data, trace = FALSE) :  
   #   Formula and data units do not match.
   
## Doubled column names in data set - formula can't fit:
   colnames(z) <- c("x", "x")
   z[1:6,]
   ## Not run: 
   garchFit(x ~garch(1, 1), data = z, trace = FALSE)
   
## End(Not run)
   # Again the error will be noticed:
   # Error in garchFit(x ~ garch(1, 1), data = z) : 
   #   Column names of data are not unique.

## Missing column names in data set - formula can't fit:
   z.mat <- as.matrix(z)
   colnames(z.mat) <- NULL
   z.mat[1:6,]
   ## Not run: 
   garchFit(x ~ garch(1, 1), data = z.mat, trace = FALSE)
   
## End(Not run)
   # Again the error will be noticed:
   # Error in .garchArgsParser(formula = formula, data = data, trace = FALSE) : 
   #   Formula and data units do not match

fGarch documentation built on May 21, 2017, 2:37 a.m.

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