be_zeroinfl function

conduct backward stepwise variable elimination for zero inflated count regression

conduct backward stepwise variable elimination for zero inflated count regression from zeroinfl function

be.zeroinfl(object, data, dist=c("poisson", "negbin", "geometric"), alpha=0.05, 
            trace=FALSE)

Arguments

• object: an object from function zeroinfl
• data: argument controlling formula processing via model.frame.
• dist: one of the distributions in zeroinfl function
• alpha: significance level of variable elimination
• trace: logical value, if TRUE, print detailed calculation results

Details

conduct backward stepwise variable elimination for zero inflated count regression from zeroinfl function

Returns

an object of zeroinfl with all variables having p-values less than the significance level alpha

References

Zhu Wang, Shuangge Ma, Ching-Yun Wang, Michael Zappitelli, Prasad Devarajan and Chirag R. Parikh (2014) EM for Regularized Zero Inflated Regression Models with Applications to Postoperative Morbidity after Cardiac Surgery in Children, Statistics in Medicine. 33(29):5192-208.

Zhu Wang, Shuangge Ma and Ching-Yun Wang (2015) Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany, Biometrical Journal. 57(5):867-84.

Author(s)

Zhu Wang zwang145@uthsc.edu