arfima (version 1.8-1)

vcov.arfima: Extracts the Variance-Covariance Matrix

Description

Extracts the variance-covariance matrices (one or two for each mode) from a fitted arfima object.

Usage

# S3 method for arfima
vcov(
  object,
  type = c("b", "o", "e"),
  cor = FALSE,
  digits = max(4, getOption("digits") - 3),
  tapprox = FALSE,
  summ = FALSE,
  ...
)

Value

A list of lists (one for each mode) with components observed

and/or expected.

Arguments

object

A fitted arfima object

type

Which type of covariance matrix to return: "o" is the observed matrix (from solving the Hessian), "e" is the expected matrix (from solving the information matrix), and "b" is both.

cor

Whether or not the correlation matrix should be returned instead.

digits

The number of digits to print.

tapprox

Whether or not to use an approximation to find the expected matrix. Highly recommended to be FALSE, as it takes much longer, and is an approximation.

summ

Whether the call is from the summary.arfima function. Should not be used except internally.

...

Optional arguments, currently not used.

Author

JQ (Justin) Veenstra

References

Veenstra, J.Q. Persistence and Antipersistence: Theory and Software (PhD Thesis)

See Also

summary.arfima, arfima

Examples

# \donttest{
set.seed(1234)
sim <- arfima.sim(1000, model = list(dfrac = 0.4, phi = .8, theta = -0.5))
fit1 <- arfima(sim, order = c(1, 0, 1), back=TRUE)
fit2 <- arfima(sim, order = c(1, 0, 1), lmodel = "g", back=TRUE)
fit3 <- arfima(sim, order = c(1, 0, 1), lmodel = "h", back=TRUE)
fit1
fit2
fit3
vcov(fit1)
vcov(fit2)
vcov(fit2)
# }