univariateML (version 1.5.0)

mlgeom: Geometric distribution maximum likelihood estimation

Description

For the density function of the Geometric distribution see Geometric.

Usage

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

Value

mlgeom returns an object of class

univariateML. This is a named numeric vector with maximum likelihood estimates for prob 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?

...

not in use.

References

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

See Also

Geometric for the density.

Examples

mlgeom(corbet)