Hi, Dear R-help I know there are some R package to deal with zero-inflated count data. But I am now looking for R package to deal with zero-inflated continuous data.
The response variable (Y) in my dataset contains a larger mount of zero and the Non-zero response are quite right skewed. Now what i am doing is first to use a logistic regression on covariates (X) to estimate the probability of Y being 0. Then focus on the dataset where Y is not zero, and run a linear regression or gamma glm to estimate the association between Y and X when Y is not zero. However, the linear regression and gamma glm model fit my data poorly. So, I am thinking maybe a zero inflated gamma or zero inflated lognormal regression are helpful, where I can estimate the probability of Y being zero and the association between non zero Y and X at the same time. However, I dont know which R package can do that. Hope I can get the answer soon.... and any suggestion about my dataset is truely appreciate. -- View this message in context: http://r.789695.n4.nabble.com/Can-R-do-zero-inflated-gamma-regression-tp3576120p3576120.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
