mlgamma | R Documentation |
Uses Newton-Raphson to estimate the parameters of the Gamma distribution.
mlgamma(x, na.rm = FALSE, ...)
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
|
For the density function of the Gamma distribution see GammaDist.
mlgamma
returns an object of class univariateML
.
This is a named numeric vector with maximum likelihood estimates for
shape
and rate
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 |
Choi, S. C, and R. Wette. "Maximum likelihood estimation of the parameters of the gamma distribution and their bias." Technometrics 11.4 (1969): 683-690.
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 1, Chapter 17. Wiley, New York.
GammaDist for the Gamma density.
mlgamma(precip)
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