🎓 Tidy tools for academics
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Updated
Aug 2, 2018 - R
🎓 Tidy tools for academics
Batch effect adjustment based on negative binomial regression for RNA sequencing count data
Fit Gamma-Poisson Generalized Linear Models Reliably
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.
Predicting weekly dengue cases for Iquitos and San Juan using Machine Learning algorithms
A comparison between Poisson regression, quasi-Poisson regression, and negative binomial regression for overdispersed count data.
Negative Binomial Additive Model for RNASeq Data
MSDS 410 Data Modeling for Supervised Learning (R)
Norm Constrained Generalised Linear Model using numpy, numba and scipy.
Mixed Poisson Regression for Overdispersed Count Data
Using the Poisson Regression Model and NB Regression Model to predict number of rental bikes.
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.
Can features of the built environment be used to predict the locations of pedestrian crashes at the street level in Uptown Charlotte, North Carolina?
Investigating Overdispersion's Effect on Modeling
Simple model of proposed measures for age/sex adjusted differences in A&E attendance by population
Statistical Analysis about cancer incidence in Modena hospital.
Evaluating proposed CGAN-EB method in simulation enironment
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