Testing for the Presence of a Zero Hurdle
Wald test of the null hypothesis that no zero hurdle is required in hurdle regression models for count data.
hurdletest(object, ...)
object |
A fitted model object of class |
... |
arguments passed to |
If the same count distribution and the same set of regressors is used in the hurdle model for both, the count component and the zero hurdle component, then a test of pairwise equality between all coefficients from the two components assesses the null hypothesis that no hurdle is needed in the model.
The function hurdletest is a simple convenience interface to
the function linearHypothesis from the car
packages that can be employed to carry out a Wald test for this
hypothesis.
An object of class "anova" as returned by linearHypothesis.
Achim Zeileis <Achim.Zeileis@R-project.org>
Cameron, A. Colin and Pravin K. Trivedi. 1998. Regression Analysis of Count Data. New York: Cambridge University Press.
Cameron, A. Colin and Pravin K. Trivedi 2005. Microeconometrics: Methods and Applications. Cambridge: Cambridge University Press.
data("bioChemists", package = "pscl")
fm <- hurdle(art ~ ., data = bioChemists, dist = "negbin", zero = "negbin")
hurdletest(fm)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.