Statistical Computing in the Age of AI
Statistical Computing in the Age of AI
Statistical Computing in the Age of AI
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Welcome
Preface
Conventions
Introduction
Foundations
1
Introduction to R
2
Version Control with Git
3
R Internals
4
Functional Programming
Numerical Methods
5
Matrix Algebra in R
6
Matrix Decompositions
7
Optimization and Numerical Methods
Computational Statistics
8
Simulation Study Design
9
The Bootstrap
Statistical Models
10
Linear Models in Practice
11
Generalized Linear Models
12
Mixed-Effects Models
13
Survival Analysis
14
Bayesian Computation
Visualization and Communication
15
Visualization and the Grammar of Graphics
16
Advanced ggplot2
17
Interactive Visualization with Shiny
Scaling and Software Engineering
18
Parallel Computing in R
19
R Package Development
20
Package Testing and Documentation
References
Appendices
Credits
Colophon
Statistical Computing in the Age of AI
Code
A graduate textbook in biostatistics.
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