| mllaplace {univariateML} | R Documentation |
Laplace distribution maximum likelihood estimation
Description
The maximum likelihood estimate of mu is the sample median while the
maximum likelihood estimate of sigma is mean absolute deviation
from the median.
Usage
mllaplace(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 Laplace distribution see Laplace.
Value
mllaplace returns an object of class
univariateML. This is a named numeric vector with maximum likelihood
estimates for mu and 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 2, Chapter 24. Wiley, New York.
See Also
Laplace for the Laplace density.
Examples
mllaplace(precip)