mlparalogis {univariateML} | R Documentation |
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 |
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)