Robust estimation of gamma distribution parameters
gammaRob(x, estim = c("M", "tdmean"), control = gammaRob.control(estim, ...), ...)a list with class “fitdstn” containing the following elements:
a named numeric vector containing the parameter estimates.
a named numeric vector containing the standard deviations of the parameter estimates.
a numeric matrix containing the variance-covariance matrix of the estimated parameter vector.
a single numeric value containing an estimate of the mean.
a single numeric value containing the variance of the estimated mean.
a list containing the control parameters used by the estimator.
The print method displays the estimated parameters and their standard errors (in parentheses).
a numeric vector containing the sample.
a character string specifying which estimator to use.
a list of control parameters appropriate for the estimator in estim.
control parameters may also be given here.
gammaRob.control, fitdstnRob.