Hi all I have developed a zero-inflated negative binomial model using the zeroinfl function from the pscl package, which I have carried out model selection based on AIC and have used likelihood ratio tests (lrtest from the lmtest package) to compare the nested models [My end model contains 2 factors and 4 continuous variables in the count model plus one continuous variable in the zero-inflated portion]. But for model assessment I would like to carry out some form of internal cross-validation along the lines of leave one out cv etc, to gauge the predictive ability of my final model just wondering if there is any technique within r for doing this with zero-inflated models/negative binomial models. n.b. my data set is not large enough to split the data at the start and only fit the model to a subset of data. I am using r 2.8.1 Many Thanks in Advance Lara
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