The maximum likelihood estimate of `rate`

is the inverse sample mean.

## Arguments

- x
a (non-empty) numeric vector of data values.

- na.rm
logical. Should missing values be removed? If

`FALSE`

, the function fails when`x`

contains missing values.- ...
currently affects nothing.

## Value

`mlexp`

returns an object of class`univariateML`

.
This is a named numeric vector with maximum likelihood estimates for
`rate`

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 exponential distribution see Exponential.

## References

Johnson, N. L., Kotz, S. and Balakrishnan, N. (1995) Continuous Univariate Distributions, Volume 1, Chapter 19. Wiley, New York.

## See also

Exponential for the exponential density.