Uniform distribution maximum likelihood estimation

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.

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

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.

Examples

mlunif(precip)
#> Maximum likelihood estimates for the Uniform model 
#> min  max  
#>   7   67