Many Methods for "fracdiff" Objects
## S3 method for class 'fracdiff' coef(object, ...) ## S3 method for class 'fracdiff' logLik(object, ...) ## S3 method for class 'fracdiff' print(x, digits = getOption("digits"), ...) ## S3 method for class 'fracdiff' summary(object, symbolic.cor = FALSE, ...) ## S3 method for class 'summary.fracdiff' print(x, digits = max(3, getOption("digits") - 3), correlation = FALSE, symbolic.cor = x$symbolic.cor, signif.stars = getOption("show.signif.stars"), ...) ## S3 method for class 'fracdiff' fitted(object, ...) ## S3 method for class 'fracdiff' residuals(object, ...) ## S3 method for class 'fracdiff' vcov(object, ...)
x, object |
object of class |
digits |
the number of significant digits to use when printing. |
... |
further arguments passed from and to methods. |
correlation |
logical; if |
symbolic.cor |
logical. If |
signif.stars |
logical. If |
fracdiff
to get "fracdiff"
objects,
confint.fracdiff
for the confint
method;
further, fracdiff.var
.
set.seed(7) ts4 <- fracdiff.sim(10000, ar = c(0.6, -.05, -0.2), ma = -0.4, d = 0.2) modFD <- fracdiff( ts4$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 stopifnot(exprs = { })
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.