univariateML (version 1.1.1)

mlunif: Uniform distribution maximum likelihood estimation

Description

The estimates are min(x) and max(x).

Usage

mlunif(x, na.rm = FALSE, ...)

Value

mlunif returns an object of class

univariateML. This is a named numeric vector with maximum likelihood estimates for min

and max 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 match.call

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 logistic distribution see Uniform.

References

Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 2, Chapter 26. Wiley, New York.

See Also

Uniform for the uniform density.

Examples

mlunif(precip)