gammaRob: Robust Estimation of Gamma Distribution Parameters

In robust: Port of the S+ "Robust Library"

Description

Robust estimation of gamma distribution parameters

Usage

gammaRob(x, estim = c("M", "tdmean"), control = gammaRob.control(estim, ...), ...)

Arguments

x	a numeric vector containing the sample.
estim	a character string specifying which estimator to use.
control	a list of control parameters appropriate for the estimator in estim.
...	control parameters may also be given here.

Value

a list with class “fitdstn” containing the following elements:

estimate	a named numeric vector containing the parameter estimates.
sd	a named numeric vector containing the standard deviations of the parameter estimates.
vcov	a numeric matrix containing the variance-covariance matrix of the estimated parameter vector.
mu	a single numeric value containing an estimate of the mean.
V.mu	a single numeric value containing the variance of the estimated mean.
control	a list containing the control parameters used by the estimator.

The print method displays the estimated parameters and their standard errors (in parentheses).

See Also

gammaRob.control, fitdstnRob.

robust documentation built on May 2, 2019, 5:20 p.m.