mlunif: Uniform distribution maximum likelihood estimation

In univariateML: Maximum Likelihood Estimation for Univariate Densities

Description

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

Usage

mlunif(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 logistic distribution see Uniform.

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

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)

Example output

Maximum likelihood estimates for the Uniform model 
min  max  
  7   67  

univariateML documentation built on Jan. 25, 2022, 5:09 p.m.