The maximum likelihood estimate of shapelog and ratelog are calculated by calling mlgamma() on the transformed data.

## Usage

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

## Arguments

x

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

na.rm

logical. Should missing values be removed?

...

passed to mlgamma.

## Value

mllgamma returns an object of classunivariateML. This is a named numeric vector with maximum likelihood estimates for shapelog and ratelog 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

## Details

For the density function of the log normal distribution see Loggamma.

## References

Hogg, R. V. and Klugman, S. A. (1984), Loss Distributions, Wiley.

Dutang, C., Goulet, V., & Pigeon, M. (2008). actuar: An R package for actuarial science. Journal of Statistical Software, 25(7), 1-37.

mllgamma(precip)