mlgeom: Geometric distribution maximum likelihood estimation

In JonasMoss/univariateML: Maximum Likelihood Estimation for Univariate Densities

Geometric distribution maximum likelihood estimation

Description

For the density function of the Geometric distribution see Geometric.

Usage

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

Arguments

x	a (non-empty) numeric vector of data values.
na.rm	logical. Should missing values be removed?
...	not in use.

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

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)

JonasMoss/univariateML documentation built on Nov. 3, 2024, 3:03 p.m.