mllaplace {univariateML} | R Documentation |
The maximum likelihood estimate of mu
is the sample median while the
maximum likelihood estimate of sigma
is mean absolute deviation
from the median.
mllaplace(x, na.rm = FALSE, ...)
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
currently affects nothing. |
For the density function of the Laplace distribution see Laplace.
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 |
Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, Chapter 24. Wiley, New York.
Laplace for the Laplace density.
mllaplace(precip)