| fracdiff-methods {fracdiff} | R Documentation |
Many “accessor” methods for fracdiff objects,
notably summary, coef, vcov, and
logLik; further print() methods were needed.
## 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$symbolic.cor,
signif.stars = getOption("show.signif.stars"), ...)
## S3 method for class 'fracdiff':
vcov(object, ...)
x, object |
object of class fracdiff. |
digits |
the number of significant digits to use when printing. |
... |
further arguments passed from and to methods. |
correlation |
logical; if TRUE, the correlation matrix of
the estimated parameters is returned and printed. |
symbolic.cor |
logical. If TRUE, print the correlations in
a symbolic form (see symnum) rather than as numbers. |
signif.stars |
logical. If TRUE, “significance stars”
are printed for each coefficient. |
Martin Maechler
fracdiff to get "fracdiff" objects,
confint.fracdiff for the confint method;
further, fracdiff.var.
set.seed(7) ts4 <- fracdiff.sim(10000, ar = c(0.6, -.05, -0.2), ma = -0.4, d = 0.2) modFD <- fracdiff( ts4$series, nar = length(ts4$ar), nma = length(ts4$ma)) ## -> warning (singular Hessian) 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