mlzip {univariateML} | R Documentation |
Zero-inflated Poisson distribution maximum likelihood estimation
Description
For the density function of the zeero-inflated Poisson distribution see Zero-inflated Poisson distribution.
Usage
mlzip(x, na.rm = FALSE, ...)
Arguments
x |
a (non-empty) numeric vector of data values. |
na.rm |
logical. Should missing values be removed? |
... |
Not currently in use. |
Value
mlzip
returns an object of class univariateML
.
This is a named numeric vector with maximum likelihood estimates for
lambda
and pi
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 |
References
Johnson, N. L., Kemp, A. W., & Kotz, S. (2005). Univariate Discrete Distributions (3rd ed.). Wiley-Blackwell.
See Also
Zero-inflated Poisson distribution for the density.
Examples
mlzip(corbet)
[Package univariateML version 1.5.0 Index]