Presentation-Ready Data Summary and Analytic Result Tables

📊 Computation and processing of models' parameters

Enhancing {ggplot2} plots with statistical analysis 📊📣

🌌 The R easystats-project

An R implementation of a new covariates selection method in Dynamic Regression Models.

A collection of helper functions for some common tasks in fitting linear models, mainly by lm().

Dynamic Modeling and Machine Learning Environment

Interpretable Configurational Regression: An R Package

Aplicação do Algoritmo proposto em https://doi.org/10.1214/21-BA1294 em misturas de regressão t de Student assimétricas.

Regression model building and forecasting in R

An R package for obtaining nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers or splines

Dot-and-Whisker Plots of Regression Results

RegrCoeffsExplorer is a tool that enhances the interpretation of regression results by visualizing empirical data distributions. It supports Linear Models (LM), Generalized Linear Models (GLM), and Elastic-Net Regularized Generalized Linear Models (GLMNET).

Statistical Multiple Linear Regression model built in R Programming Language to predict the next day Maximum and Minimum Temperature

Knights et al. (2024). Neural Evidence of Functional Compensation for Fluid Intelligence in Healthy Ageing. eLife.

MachineShop: R package of models and tools for machine learning

Bootstrap p-values, including convenience functions for regression models.

Modelos de Regressão Não Linear