mlnbinom: Negative binomial distribution maximum likelihood estimation

In JonasMoss/univariateML: Maximum Likelihood Estimation for Univariate Densities

Negative binomial distribution maximum likelihood estimation

Description

For the density function of the Negative binomial distribution see Negative binomial.

Usage

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

Arguments

x	a (non-empty) numeric vector of data values.
na.rm	logical. Should missing values be removed?
...	The arguments size can be specified to only return the ml of prob. reltol is the relative accuracy requested, defaults to .Machine$double.eps^0.25. iterlim is a positive integer specifying the maximum number of iterations to be performed before the program is terminated (defaults to 100).

Value

mlnbinom returns an object of class univariateML. This is a named numeric vector with maximum likelihood estimates for size and 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

Negative binomial for the density.

Examples

mlnbinom(corbet)

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