R Packages
- COMBO: COMBO
provides a set of functions for the analysis of regression models with
binary outcome misclassification.
- COMBO: COrrecting
Misclassified Binary
Outcomes.
- COMMA: COMMA
provides a set of functions for mediation analysis with a potentially
misclassified binary mediator variable.
- COMMA: COrrecting
Misclassified Mediation
Analysis.
- rddapp: The
rddapp package provides a set of functions for the analysis of the
regression-discontinuity design (RDD). The three main parts are:
estimation of effects of interest, power analysis, and assumption
checks.
- cornellcolors:
R package with color palettes matching Cornell University’s official
branding and with color palettes inspired by iconic buildings at Cornell
University.
- carnegiecolors:
R package with color palettes matching Carnegie Mellon University’s
official branding.
- maizeandblue: R
package with color palettes matching the University of Michigan’s
official branding and with color palettes inspired by local eateries in
Ann Arbor, Michigan.
- pittpalette: R
package with color palettes matching the University of Pittsburgh’s
official branding.
- lecreuset: R
package with color palettes matching the 2024 line of Le Creuset
stoneware and enameled cast iron cookware.
Web Applications
- Pneumonitis Prediction App:
Web-based application to estimate the risk of developing pneumonitis in
lung cancer patients, based on treatment and clinical characteristics.
Designed to aid in radiation treatment planning.
- Heavy-Tailed
Distribution Expected Value Estimation Simulator: Web-based
application that runs simulations comparing the median-of-means and
empirical mean estimators in heavy-tailed distributions.
- Tswift in an
Rscript: Web-based application to analyze components of Taylor
Swift’s top songs. Developed for a tutorial on R Shiny for beginners
that I presented on December 7th, 2021 (materials available upon
request).
Tutorials
- A template and brief tutorial for creating websites using GitHub
Pages and R is available on my GitHub
page.
- Materials for my R Shiny tutorial (using this web
application) are available upon request.