Poisson Regression with Tidymodels for Package Vignette Counts
Offered By: Julia Silge via YouTube
Course Description
Overview
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.
Syllabus
Introduction
Data
Histogram
Model
Special formula
Bootstrap
Results
Summary
Taught by
Julia Silge
Related Courses
Introduction to Operations ManagementWharton School of the University of Pennsylvania via Coursera Computational Molecular Evolution
Technical University of Denmark (DTU) via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)
The Chinese University of Hong Kong via Coursera Fundamentals of Clinical Trials
Harvard University via edX Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax