LRTnu: Likelihood Ratio Test for nu = 1 of a COM-Poisson model
In mpcmp: Mean-Parametrized Conway-Maxwell Poisson (COM-Poisson) Regression

Description Usage Arguments References Examples

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.

1	LRTnu(object, digits = 3)

`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.

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

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