Programming & Scientific Computing · R Programming & Statistical Analysis

Statistical Models in R — Advanced Reference

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction # Programming in R

Overview

Topics covered

  • Introduction
  • Statistical Models in R
  • Introduction: The Modeling Ecosystem in R
  • Hierarchy of models covered
  • Installing and loading essential packages
  • The R Formulas Interface

Related concepts

Main connections

  • Survival analysis & Kaplan-Meier
  • Generalized linear models (GLM)
  • Poisson distribution
  • Binomial distribution
  • Maximum likelihood estimation
  • Mixed & multilevel models (GLMM)

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

𝛃^=(𝐗⊤𝐗)−1𝐗⊤𝐲
View LaTeX source\hat{\boldsymbol{\beta}} = (\mathbf{X}^\top \mathbf{X})^{-1}\mathbf{X}^\top \mathbf{y}