univariateML (version 1.5.0)

mlparalogis: Paralogistic distribution maximum likelihood estimation

Description

This function estimates the only the shape parameters of the Paralogistic distribution. The rate is set to 1.

Usage

mlparalogis(x, na.rm = FALSE, ...)

Value

mlparalogis returns an object of class

univariateML. This is a named numeric vector with maximum likelihood estimates for shape and the following attributes:

model

The name of the model.

density

The density associated with the estimates.

logLik

The loglikelihood at the maximum.

support

The support of the density.

n

The number of observations.

call

The call as captured my match.call

Arguments

x

a (non-empty) numeric vector of data values.

na.rm

logical. Should missing values be removed?

...

currently affects nothing.

Details

For the density function of the Paralogistic distribution see Paralogistic.

References

Kleiber, C. and Kotz, S. (2003), Statistical Size Distributions in Economics and Actuarial Sciences, Wiley. Klugman, S. A., Panjer, H. H. and Willmot, G. E. (2012), Loss Models, From Data to Decisions, Fourth Edition, Wiley.

See Also

Paralogistic for the paralogistic density.

Examples

mlparalogis(abalone$length)