mlparalogis: Paralogistic distribution maximum likelihood estimation

In univariateML: Maximum Likelihood Estimation for Univariate Densities

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, ...)

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.

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

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)

univariateML documentation built on April 3, 2025, 11:09 p.m.