# fracdiff-methods

From fracdiff v1.4-2
by Martin Maechler

##### Many Methods for "fracdiff" Objects

Many “accessor” methods for `fracdiff`

objects,
notably `summary`

, `coef`

, `vcov`

, and
`logLik`

; further `print()`

methods were needed.

##### Usage

```
# S3 method for fracdiff
coef(object, …)
# S3 method for fracdiff
logLik(object, …)
# S3 method for fracdiff
print(x, digits = getOption("digits"), …)
# S3 method for fracdiff
summary(object, symbolic.cor = FALSE, …)
# S3 method for summary.fracdiff
print(x, digits = max(3, getOption("digits") - 3),
correlation = FALSE, symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"), …)
# S3 method for fracdiff
vcov(object, …)
```

##### Arguments

- x, object
object of class

`fracdiff`

.- digits
the number of significant digits to use when printing.

- …
further arguments passed from and to methods.

- correlation
logical; if

`TRUE`

, the correlation matrix of the estimated parameters is returned and printed.- symbolic.cor
logical. If

`TRUE`

, print the correlations in a symbolic form (see`symnum`

) rather than as numbers.- signif.stars
logical. If

`TRUE`

, “significance stars” are printed for each coefficient.

##### See Also

`fracdiff`

to get `"fracdiff"`

objects,
`confint.fracdiff`

for the `confint`

method;
further, `fracdiff.var`

.

##### Examples

```
# NOT RUN {
set.seed(7)
ts4 <- fracdiff.sim(10000, ar = c(0.6, -.05, -0.2), ma = -0.4, d = 0.2)
modFD <- fracdiff( ts4$series, nar = length(ts4$ar), nma = length(ts4$ma))
## -> warning (singular Hessian) %% FIXME ???
coef(modFD) # the estimated parameters
vcov(modFD)
smFD <- summary(modFD)
smFD
coef(smFD) # gives the whole table
AIC(modFD) # AIC works because of the logLik() method
# }
```

*Documentation reproduced from package fracdiff, version 1.4-2, License: GPL (>= 2)*

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