Learn to fit a zero-inflated Poisson regression model using the tidymodels framework to analyze the relationship between R package releases and the number of vignettes. Follow along with this screencast as it demonstrates data exploration, model specification with special formulas, bootstrapping, and result interpretation using #TidyTuesday data on R package vignettes. Gain practical insights into handling count data and applying advanced regression techniques within the tidymodels ecosystem.
Overview
Syllabus
Introduction
Data
Histogram
Model
Special formula
Bootstrap
Results
Summary
Taught by
Julia Silge
