robust: fitdstn – R documentation

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fitdstn

Maximum-likelihood Fitting of Univariate Distributions

Maximum-likelihood fitting of univariate distributions.

fitdstn(x, densfun, ...)

`x`	a numeric vector containing the sample.
`densfun`	a character string naming the distribution. Distributions ‘gamma’, ‘lognormal’, and ‘weibull’ are supported.
`...`	additional arguments are ignored.

This function relies on the fitdistr function for the computations. The returned object is modified to support plotting and comparison.

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.
`n`	a single numeric value indicating the number of sample points in `x`.
`loglik`	a single numeric value giving the maxized the log-likelihood.
`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).