Software

Software

Author of R packages on Comprehensive R Archive Network (CRAN)

Rosenberg, J. M., van Lissa, C. J., Beymer, P. N., Anderson, D. J., Schell, M. J. & Schmidt, J. A. (2019). tidyLPA: Easily carry out Latent Profile Analysis (LPA) using open-source or commercial software [R package]. https://data-edu.github.io/tidyLPA/

Rosenberg, J. M., Xu, R., & Frank, K. A. (2019). konfound: Quantify the robustness of causal inferences [R package]. https://jrosen48.github.io/konfound/

Rosenberg, J. M., Schmidt, J. A., Beymer, P. N., & Steingut, R. (2018). prcr: Person-Centered Analysis [R package]. https://CRAN.R-project.org/package=prcr

Rosenberg, J. M., & Lishinski, A. (2018). clustRcompaR: Easy interface for clustering a set of documents and exploring group-based patterns [R package]. https://github.com/alishinski/clustRcompaR

Contributor to R package on CRAN

D’Agostina McGowan, L., Hester, J., Rosenberg, J. M., & Leek, J. (2020). *tidycode: Analyze Lines of R Code the Tidy Way. https://github.com/LucyMcGowan/tidycode

Author of R packages on GitHub

Estrellado, R. A., Bovee, E. A., Mostipak, J., Rosenberg, J. M., & Velásquez, I. C. (2019). dataedu: Package for Data Science in Education Using R. https://github.com/data-edu/dataedu

Anderson, D. Heiss, A., and Rosenberg, J. M. (2019). equatiomatic: Transform Models into LaTeX Equations. https://github.com/datalorax/equatiomatic

Velásquez, I. and Rosenberg, J. M. (2019). leaidr: U.S. School District Shapefiles https://github.com/ivelasq/leaidr

Seo, J., & Rosenberg, J. M. (2020). jladown: Writing a Reproducible Article for Journal of Learning Analytics in R Markdown. https://github.com/jooyoungseo/jladown

Staudt Willet, B., & Rosenberg, J. M. (2020). tidytags: Simple Collection and Powerful Analysis of Twitter Data https://github.com/bretsw/tidytags

Interactive Web Applications

Rosenberg, J. M., Xu, R., & Frank, K. A. (2019). Konfound-It!: Quantify the robustness of causal inferences. http://konfound-it.com.

Rosenberg, J. M., & Krist, C. (2019). Generality embedded assessment classifier. https://jmichaelrosenberg.shinyapps.io/generality-shiny/

Rosenberg, J. M. (2019). How many (MCMC) cores? https://jmichaelrosenberg.shinyapps.io/how-many-cores/

Rosenberg, J. M. (2016). State Educational Twitter Hashtags (SETHs). https://jmichaelrosenberg.shinyapps.io/SETHs/

Computational Science Simulation

Rosenberg, J. M. (2016). Diffusion & temperature. Lab Interactive Simulation. https://lab.concord.org/interactives.html#interactives/external-projects/msu/temperature-diffusion.json

Python-Based Web Application

Lishinski, A., & Rosenberg, J. M. (2019). Short message survey: An open-source, text-message based application for the experience sampling method. https://github.com/picsul/short-message-survey

Estrellado, R. A., Freer, E. A., Mostipak, J., Rosenberg, J. M., & Velásquez, I. C. (in press). Data science in education using R. London, England: Routledge. http://www.datascienceineducation.com/

Miscellaneous Code

I share most of my in-development code and code related to analyses on GitHub: https://github.com/jrosen48. I also share code and associated files (presentations, pre-prints, and resources) on the Open Science Framework: https://osf.io/xzqbc/.