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

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RStudio recently updated Shiny to allow for editable DataTables. Their implementations allows for editing cells direclty with in the DataTable view. This is fine for many advanced applications, however, for many applications more fine tuned control of what the user can edit is necessary. For example, you may want to only allow a subset of columns to be editable. Or you want to view a subset of columns in a spreadsheet view but allow other columns to be editable.


This post describes a framework for using Shiny for conducting, grading, and providing feedback for assessments. This framework supports any multiple choice format including multiple choice tests or Likert type surveys. A demo is available at or can be run locally as a Github Gist: runGist('a6fb5a3b1d5fd56cff64') Key features of this framework include: Assessments take over the entire user interface for a distraction free assessment. Creating an assessment requires: A vector of item stems.




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 Propnesity Score Analysis. CRAN Version


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: