Shinylive Apps for Statistical Computation

This is a standalone archive of all 17 interactive Shinylive apps in Elements of Statistical Computation. Each app runs entirely in your browser: the R code is compiled to WebAssembly and executed locally by webR, so nothing is sent to a server and no R installation is needed.

Pick an app from the table below. Every page also carries the app’s full R source and a link back to the section of the book that explains it. The first load of an app takes a few seconds while webR downloads.

App	Category
The Inverse CDF Method	Monte Carlo Methods
Newton-Raphson on the Cauchy Likelihood	Optimization Algorithms
Newton-Raphson for Logistic Regression	Optimization Algorithms
Gradient Descent Algorithms	Optimization Algorithms
Stochastic Gradient Descent for Neural Network Models	Optimization Algorithms
Nelder–Mead Algorithm	Optimization Algorithms
EM Algorithm for Normal Mixture	EM Algorithms
Conjugate Bayesian Updating	Introduction to Bayesian Inference
A Quadrature Grid Missing the Posterior Mode	Numerical Quadrature
Adaptive Gauss–Hermite Quadrature	Laplace Approximation
Envelope Tightness in Rejection Sampling	Rejection Sampling
Rejection Sampling from a Gamma Density with a Cauchy Envelope	Rejection Sampling
Adaptive Rejection Sampling	Rejection Sampling
The Failure of Importance Sampling	Importance Sampling
Importance Sampling of a Student-\(t\) Interval	Importance Sampling
Sorted Importance Weights	Importance Sampling
Hamiltonian Monte Carlo Tuning	Markov Chain Monte Carlo