LRTnu: Likelihood Ratio Test for nu = 1 of a COM-Poisson model

Description Usage Arguments References Examples

View source: R/Inference.R

Description

Perform a likelihood ratio chi-squared test for nu = 1 of a COM-Poisson model. The test statistics is calculated as 2*(llik- llik_0) where llik and llik_0 are the log-likelihood of a COM-Poisson and Poisson model respectively. The test statistic has 1 degrees of freedom.

Usage

1
LRTnu(object, digits = 3)

Arguments

object

an object class 'cmp', obtained from a call to glm.cmp

digits

numeric; minimum number of significant digits to be used for most numbers.

References

Huang, A. (2017). Mean-parametrized Conway-Maxwell-Poisson regression models for dispersed counts. Statistical Modelling 17, 359–380.

Examples

1
2
3
4
data(takeoverbids)
M.bids <- glm.cmp(numbids ~ leglrest + rearest + finrest + whtknght 
    + bidprem + insthold + size + sizesq + regulatn, data=takeoverbids)
LRTnu(M.bids)

mpcmp documentation built on Oct. 26, 2020, 9:07 a.m.