Fast Best-Subset Selection Library

🎓 Tidy tools for academics

Poisson pseudo-likelihood regression with multiple levels of fixed effects

BAS R package for Bayesian Model Averaging and Variable Selection

Models for estimating football (soccer) team-strength

Fast Change Point Detection in R

A bot that provides soccer predictions using Poisson regression

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Quick Guide for Modelling Count Data in A Multilevel Framework

R material for LSHTM's Advanced Statistical Methods in Epidemiology (ASME) practical sessions

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

Bayesian Statistics with R [Gibbs Sampling, Metrapolis Hastings, Regression, Logistic Regression, Poisson Regression, Multi Factor Anova, Hierarchical Modelling, Mixture Models]

Trying different regression models on Life Expectancy dataset.

Machine Learning From Scratch

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

A small Poisson regression implementation

Course XCS229i in Machine Learning from Stanford University

Regression Models for Epidemiology

These are the R scripts used to calculate the model coefficients for the Android application.

This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.