Open source

Selected R packages

• TabulaPDF: R bindings to the Tabula Java library for PDF tables extraction.
• Cpp11tesseract: R bindings to the Tesseract C++ library for optical character recognition (OCR).
• Freedomhouse: A tidy version of Freedom House datasets with added ISO country codes and texts with the sub-item justification.
• Capybara: Efficient Fixed-Effects Estimation in R With C++ 11 Backend.
• Cpp11armadillo: Provides function declarations and inline function definitions that facilitate communication between R and the Armadillo C++ library for linear algebra and scientific computing.
• Cpp11eigen: Provides function declarations and inline function definitions that facilitate communication between R and the Eigen C++ library for linear algebra and scientific computing.
• DESTA (R version): The Design of Trade Agreements Database.
• USITC Gravity: Database Adapted From the International Trade and Production Database for Estimation (ITPD-E) and Dynamic Gravity Dataset (DGD).
• Gravity: Estimation methods for gravity models.
• Tradepolicy: Replication of an advanced guide to trade policy analysis.
• Tradestatistics: Open trade statistics API wrapper and utility program.
• Pointblank: Data validation and organization of metadata for local and remote tables.

CRAN

I maintain the WebTechnologies view and the official mirror for Chile.

LaTeX

I created the R package varsityblues, which allows you to write assignments, presentations and thesis in RStudio by following UofT formatting. This allows the user to avoid copy-pasting tables or plots from R outputs into Word/LaTeX documents. Instead, it allows the user to work with notebooks that they can export to PDF, and it configures the LaTeX setup automatically.

This package is based on the LaTeX style files that were sent to me by the late Professor Kim C. Border.

Cloud computing

I created images for RStudio Server and RStudio Server + Kubernetes, which allows you to create virtual machines on DigitalOcean and to skip the setup time to install the Tidyverse and other packages. With these images, it takes around 30 seconds to have a ready to go setup for Data Science. This combines well with analogsea as I explained in my blog.

In simple terms, this allows you to rent a supercomputer, for example, with 48 cores and 200 GB in RAM, for a reasonable price and minimal waiting.