R: Robust Fitting of Univariate Distributions

fitdstnRob {robust} | R Documentation

## Robust Fitting of Univariate Distributions

### Description

Robust Fitting of Univariate Distributions.

### Usage

    fitdstnRob(x, densfun, ...)

### Arguments

`x` | A numeric vector containing the sample.
`densfun` | a character string naming the distribution. Distributions ‘gamma’, ‘lognormal’, and ‘weibull’ are recognized.
`...` | additional arguments are passed to the fitting functions.

### 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.
`call` | the matched call.
`densfun` | the character string `densfun` provided in the arguments.
`x` | the data provided in `x`.

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

### See Also

`gammaRob`, `lognormRob`, `weibullRob`.

The classical counterparts, see `fitdstn`.

[Package robust version 0.5-0.0 Index]