mlrayleigh {univariateML} | R Documentation |
Rayleigh distribution maximum likelihood estimation
Description
Calculates the sigma
parameter as the square root of half the
empirical second moment.
Usage
mlrayleigh(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 Rayleigh distribution see Rayleigh.
Value
mlrayleigh
returns an object of class
univariateML
. This is a named numeric vector with maximum likelihood
estimates for sigma
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
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 1, Chapter 18. Wiley, New York.
See Also
Rayleigh for the Rayleigh density.
Examples
mlrayleigh(precip)