Machine Learning in R

mlr3: Machine Learning in R - next generation

Collection of various algorithms implemented in R.

🔗 Methods for Correlation Analysis

An R Port of Stata's 'margins' Command

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Diagnostics for HierArchical Regession Models

🎓 Tidy tools for academics

Lesson files for Practical Applications in R for Psychologists.

Conversion of R Regression Output to LaTeX or HTML Tables

Fit Gamma-Poisson Generalized Linear Models Reliably

Tools for developing OLS regression models

💪 🤔 Modern Super Learning with Machine Learning Pipelines

Recommended learners for mlr3

Tidy, Type-Safe 'prediction()' Methods

Auto ML for the tidyverse

Probability and Statistics, Events, Random variables, Distributions, Moments, Main Limit Theorems, Hypothesis, Regression and more. Statistical Computing and Graphics with R.

Multi-sample somatic variant caller

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍