R Packages and Resources by Jason Bryer, Ph.D.

Recent & Upcoming Talks

More Talks

Relationship Between Intraclass Correlation (ICC) and Percent Agreement
April 4, 2019
Validity and Reliability of the DAACS Writing Assessment
April 4, 2019
Intro to Propensity Score Analysis
March 28, 2019
Intro to Predictive Modeling
January 22, 2019

Recent Posts

More Posts

First, I want to give a plug to the RStats Strava Running Club. If you are into running, it is a great group that provides lots of support. This post is inspired by this streetmaps tutorial over at on creating map artwork/posters. This post shows how to overlay running (which could be biking) routes. The key for this to work is to get access to GPX (GPS Exchange format) files.


TL;DR: You can test this approach using this Github Gist. R Shiny Apps have become a popular way of creating web applications in R. There are many ways of running Shiny Apps including locally in RStudio, on or installing the server software on your own host. I have been increasingly using Shiny apps as a way to demonstrate and interact with R Packages, especially packages I write for teaching purposes.




An R package to interface with the API for getting data about LEGO sets


Visual Introduction to Maximum Likelihood Estimation


The Diagnostic Assessment and Achievement of College Skills is a diagnostic assessment designed to help students transition to college. DAACS provides personalized feedback about students’ strengths and weaknesses in terms of key academic and self-regulated learning skills, linking them to the resources to help them be successful students.


This project supports the implementaion of Positive Behavioral Interventions & Supports (PBIS) in New York State. PBIS is a systems approach to creating and maintaining positive school climates where teachers can teach and students can learn. This evidence-based framework emphasizes preventing school discipline problems.


An R package designed to help analyzing and visualizing Likert type items. CRAN Version


Propensity Score Analysis (PSA) is a statistical approach for estimating causal effects from observational studies. This project includes materials from workshops taught, an Shiny application for conducting PSA, and an early draft of a PSA book.


Editable DataTables for shiny apps.


An R package to maintain data caches.


An R Package for Bootstrapping Propensity Score Analysis.


Propensity score matching for non-binary treatments. CRAN Version


An R package to interface with the Integraded Postsecondary Education Data System.


An R package for estimating and visualizing multilevel propensity score models. CRAN Version


An R package to interface with the National Assessment of Educational Progress (NAEP) restricted use databases. This includes access any analyzing data using the replicate weights and multiple plausible values.


A data-only R package for the 2009 Programme of International Student Assessment (PISA) conducted by Organisation for Economic Co-operation and Development (OECD).


An R package to interface with the survey system.


An R package to get Rural-Urban Commuting Area (RUCA) Codes from zip codes.


The sqlutils package provides a set of utility functions to help manage a library of structured query language (SQL) files. CRAN Version


An R package to create timeline figures. CRAN Version


I am currently teaching the following course at the City University of New York (CUNY) in the Master of Science in Data Science program:

R Package to support DATA606 is available here: