univariateML (version 1.5.0)

mlpois: Poisson distribution maximum likelihood estimation

Description

The maximum likelihood estimate of lambda is the empirical mean.

Usage

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

Value

mlpois returns an object of class

univariateML. This is a named numeric vector with maximum likelihood estimates for lambda 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 Poisson distribution see Poisson.

References

Johnson, N. L., Kemp, A. W., & Kotz, S. (2005). Univariate Discrete Distributions (3rd ed.). Wiley-Blackwell.

See Also

Poisson for the Poisson density.

Examples

mlpois(ChickWeight$weight)