Jason Bryer


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

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My son has been learning Python and wanted to know how many rounds does it take, on average, for someone to win the game of war. If you are not familar with the game, it is a two player game where each player gets half a deck of cards (26). For each round the player puts down their top card. Whoever has the higher card gets both cards. In the instance where there is a tie, each player puts down three more cards and flips the fourth card.


TL;DR Run shiny::runGitHub('jbryer/ShinyPoster') see an example poster. Go to https://github.com/jbryer/ShinyPoster to download the template Introduction In the past several years academic conferences have begun to display poster presentations electronically. This provides an opportunity for authors to include interactivity into their posters. Shiny has become a popular and powerful framework for researchers to create interactive web applications. This poster and paper presents a framework for creating traditional two or three column posters using Shiny.




An R package to interface with the Brickset.com API for getting data about LEGO sets CRAN Version


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


This package provides functions and a shiny application to simulate inter-rater reliability statistics based on various scoring and response models. The initial motivation for this package is to understand the relationship between percent rater agreement and intraclass correlation.


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.


The ShinyQDA package is designed to assist researchers with the analysis of qualitative data.


Editable DataTables for shiny apps.


An R package to maintain data caches.


R Package and Shiny Application for the Analysis of Qualitative Data. CRAN Version


An R Package to Support Propensity Score Analysis. CRAN Version


Propensity score matching for non-binary treatments. CRAN Version


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


Machine Learning Dashboard.


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 Qualtrics.com 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: https://github.com/jbryer/DATA606