The count data and model codes for analysis for the paper "Using zero-inflated and hurdle models to analyze schistosomiasis count data of school children in the southern areas of Ghana" are presented here. The codes are a combination of Python and R codes.
Double-hurdle model approach to predict “seagrass emergence success” and “seagrass growth success” across planted field plots
Hurdle Models and the ecape of ionizing radiation
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