Exponential distribution maximum likelihood estimation

The maximum likelihood estimate of rate is the inverse sample mean.

mlexp(x, na.rm = FALSE)

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.

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.

Examples

mlexp(precip)
#> Maximum likelihood estimates for the Exponential model 
#>    rate  
#> 0.02867