Enhancing {ggplot2} plots with statistical analysis 📊📣
🌌 The R easystats-project
Presentation-Ready Data Summary and Analytic Result Tables
📊 Computation and processing of models' parameters
Effect size measures and significance tests
A statistical framework that serves as a common interface to a large range of models
MachineShop: R package of models and tools for machine learning
Dot-and-Whisker Plots of Regression Results
Model verification, validation, and error analysis
Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍
Basic statistical modelling examples.
Regression model building and forecasting in R
R package for fitting joint models to time-to-event data and multivariate longitudinal data
R package for fast rolling and expanding linear regression models
Predicting Bike Rental Demand using Linear and Non-linear Regression Models
Data Wrangling, Linear Models & other misc. Inferential Statistics.
#TidyTuesday to practice data analysis in R
The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.
R package for online training of regression models using FTRL Proximal
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