R: Robust Estimation of Gamma Distribution Parameters

gammaRob {robust} | R Documentation

## Robust Estimation of Gamma Distribution Parameters

### 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`.

[Package robust version 0.4-18.1 Index]