robust: gammaRob – R documentation

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gammaRob

Robust Estimation of Gamma Distribution Parameters

Robust estimation of gamma distribution parameters

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

`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.

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).