There are 0 repository under negative-binomial-regression topic.
🎓 Tidy tools for academics
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
Multi-sample somatic variant caller
Companion repository to Lause, Berens & Kobak (2021): "Analytic Pearson residuals for normalization of single-cell RNA-seq UMI data", Genome Biology
Quick Guide for Modelling Count Data in A Multilevel Framework
Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
MSDS 410 Data Modeling for Supervised Learning (R)
Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?
Statistical Analysis about cancer incidence in Modena hospital.
This repository documents my senior year independent project related to exploring the impact of behavioral interactions on the foraging success/attempts of five, peruvian army-ant following birds.
Investigating Overdispersion's Effect on Modeling
Simple model of proposed measures for age/sex adjusted differences in A&E attendance by population
Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.
Mixed Poisson Regression for Overdispersed Count Data
Assignment for Advanced Predictive Modeling for MSc Data Analytics
Data analysis and model codes for DrivenData Projects.
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.
This GitHub repository contains R code for analyzing retail analysis with the count dependent variable.
Batch effect adjustment based on negative binomial regression for RNA sequencing count data. Credits: https://github.com/zhangyuqing/ComBat-seq
Supervised Machine Learning algorithms for Regression in R and Python
Slides sobre modelos de regressĂŁo poisson e binomial negativa inflacionadas de zeros