Christopher Gandrud
christophergandrud
Personalization @spotify
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D3 JavaScript Network Graphs from R
Source code files for the book Reproducible Research with R/RStudio
Tools for creating D3 JavaScript network graphs from R.
Data Package Manager for R
R tools for combining data sets.
Introduction to Applied Data Analysis for Social Science
Repositories
151D3 JavaScript Network Graphs from R
Source code files for the book Reproducible Research with R/RStudio
Tools for simulating and graphing results from proportional hazards survival models.
Introduction to Applied Data Analysis for Social Science
Personal CV
Replication of Gupta, A., & Imas, A. (2025). "Can a Transformer Learn Economic Relationships?" https://arpitrage.substack.com/p/can-a-transformer-learn-economic
R package for interacting with the IMF RESTful JSON API
Data Package Manager for R
R tools for combining data sets.
Simulate probabilistic long-term effects in models with temporal dependence
Tools for creating D3 JavaScript network graphs from R.
Real-time perceptions of financial market stress measured using kernel PCA
Harvard DataFest 2017--Tools for Reproducible and Collaborative Data Science
Multi-core replicate for RStats
Miscellaneous tools for reproducible research with R.
Doubly Robust Machine Learner with sample splitting for Heterogeneous Treatment Effect Estimation and Approximately Optimal Treatments using Best Linear Projections
Rust based command line plotter
An R implementation of dynamic simulations of autoregressive relationships
VS Code Theme to replicate the Phenomenon theme in Warp
Core Functionality for Simulating Quantities of Interest from Generalised Linear Models
MCP to check R packages for CRAN submission
Download and format data from the OECD
Download a variable from FRED (https://research.stlouisfed.org/fred2/) for multiple countries
An Unofficial LSE LaTeX Beamer Theme
Understanding variance in financial market stress
Maps of European Banking Union
R script to process the IMF's CPIS data set and convert it to country dyad-year format.
Source and description files for individual bank data analysis
Python package for finding statistics (e.g. mean and variance) using batch updating
An example of a Shiny web app using networkD3 graphs