mllgamma | R Documentation |
The maximum likelihood estimate of shapelog
and ratelog
are calculated
by calling mlgamma()
on the transformed data.
mllgamma(x, na.rm = FALSE, ...)
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
passed to |
For the density function of the log normal distribution see Loggamma.
mllgamma
returns an object of class univariateML
.
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 |
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.
Loggamma for the log normal density.
mllgamma(precip)
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