👋 I am a statistician interested in applying statistical methods to address specific policy-relevant questions, particularly in international trade, migration, investments and theoretically founded empirical work.

I offer short courses for groups and individual personalized sessions at Buy Me a Coffee. I am certified Tidyverse and Shiny instructor by RStudio and a Software Carpentry Instructor with a Carpentries certification.

To contact me, send me an email to m.sepulveda+spam@mail.utoronto.ca (i.e., remove the +spam and I'll see your email). I can provide my CV (academic/profesional) upon request.

• Woelwer, A.-L., et al. (2021). Gravity: Estimation methods for gravity models. URL: CRAN.R-project.org/package=gravity.
• Palma, W., el al. (2021). LSTS: Locally stationary time series. URL: CRAN.R-project.org/package=LSTS.
• Vargas, M. (2021). Tradepolicy: Replication of an advanced guide to trade policy analysis. URL: CRAN.R-project.org/package=tradepolicy.
• Vargas, M. (2021). Tradestatistics: Open trade statistics API wrapper and utility program. URL: docs.ropensci.org/tradestatistics.
• Kunst, J., et al (2020). Highcharter: A wrapper for the highcharts library. URL: CRAN.R-project.org/package=highcharter.
• Iannone, R. & Vargas, M. (2021). Pointblank: Data validation and organization of metadata for local and remote tables. URL: CRAN.R-project.org/package=pointblank.
• Chamberlain, S., et al. (2021). Analogsea: Interface to Digital Ocean. URL: CRAN.R-project.org/package=analogsea.

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

I created the R package varsityblues, which allow you to write your own reports including R code and handles LaTeX setup automatically. This package is based on the LaTeX style files that that late professor Kim C. Border once sent to me.

I created images for RStudio Server and RStudio Server + Kubernetes, which allow 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 explain in my blog.

Check SQL Databases for students and educators if you need access to PostgreSQL, MySQL and SQL Server databases (in strictly descending order of preference!).

I also maintain Open Trade Statistics, a project created with the intention to lower the barrier to working with international economic trade data. It includes a public API, a dashboard, and an R package for data retrieval.

I translated a large part of 📖 R for Data Science translation into Spanish, where I also had to organize the community involved in the translation. This project also features solutions in Spanish.