Double-hurdle model approach to predict “seagrass emergence success” and “seagrass growth success” across planted field plots
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Updated
Nov 19, 2024 - R
Double-hurdle model approach to predict “seagrass emergence success” and “seagrass growth success” across planted field plots
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.
PIT-based quantile and randomized quantile residual (RQR) diagnostics for Stata models.
Kenya has experienced recurring political violence since 1991. Rich ACLED conflict data and Kenya Census Population & Density Data exists, yet little structured ML work has been applied to predict fatality severity at county level. Group Collaboration Capstone Project.
Hurdle Models and the ecape of ionizing radiation
Distributional Generalizability Theory
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