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A neural network that transforms a design mock-up into a static website.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
Open source CSS framework for data visualization.
A book covering the fundamentals of data visualization
A visual introduction to probability and statistics.
Code for a dynamic multilevel Bayesian model to predict US presidential elections. Written in R and Stan.
Beautiful and customizable model summaries in R.
This is my (deprecated) suite of R Markdown templates for academic manuscripts, beamer presentations, and syllabi. DOWNLOAD {stevetemplates} INSTEAD.
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-lin…
The biggest collection of R books (and maybe later some other resources too)
OpenResearcher, an advanced Scientific Research Assistant
Summer Institutes in Computational Social Science
This repository consolidates my teaching material for "Causal Machine Learning".
A basic and simple to set up Hugo with TailwindCSS starter project.
Coding course to complete Data Analysis in R
Introduction to Computational Tools for Social Science
R package for creating explorable multiverse analysis
clarify: Simulation-Based Inference for Regression Models
A simple script that finds the intersection of bytes between two files on different nodes, without ever revealing the cleartext to the other node.
Tool that helps to create DataCite supported XML files.
Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "