Quick Guide for Modelling Count Data in A Multilevel Framework
- Updated
Mar 6, 2022 - HTML
Quick Guide for Modelling Count Data in A Multilevel Framework
MSDS 410 Data Modeling for Supervised Learning (R)
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
Investigating Overdispersion's Effect on Modeling
Date cleaning and preprocessing | Data wrangling | Data visualization | Summary statistics | Poisson Regression | Negative Binomial Regression| Zero Inflation | Report Writing | Real world data
Newt lens regeneration data analysis involving a negative binomial regression model to see the relationships between age, recovery time, and the count of cells that have begun to regenerate.
Add a description, image, and links to the negative-binomial-regression topic page so that developers can more easily learn about it.
To associate your repository with the negative-binomial-regression topic, visit your repo's landing page and select "manage topics."