Integrating the Ace editor with Shiny.

Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)

The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.

R package for tableplot visualisation

Algorithms for Matching Markets in R and C++

Symbolic differentiation

Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)

This POC package tries to filter "malicious" calls in R expressions based on a blacklist to let shared R instances be safe from file and system calls.

Tools for working with databases in R

Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Semenova, Goldman, Chernozhukov, Taddy (2017) https://arxiv.org/a…

Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.

Automatic Differentiation for R

Analyse your researcher degrees of freedom

Game Theoretic Representation of Economic Experiments

Simple function to adjust for covariates in synthdid

RTutor Submissions Analysis for Grading and Improvement

Extended glue

RTutor Problem Set on Public Procurement Auction

Create shiny apps to play gtree games

This R package implements the tests from Elliot et al. (2022) for detecting p-Hacking.

Interactive Problem Set RTutorCompetitionPolicy

Creating interactive R Problem Sets. Automatic hints and solution checks. (Shiny or RStudio)