Code and Software

Code and Software

I share most of my in-development code and code related to analyses on GitHub: https://github.com/jrosen48. Code and software associated with some example projects is below.

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/

KonFound-It! R package: 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

Interactive Web Applications

Rosenberg, J. M., Xu, R., & Frank, K. A. (2018). Konfound-It!: Quantify the Robustness of Causal Inferences. http://konfound-it.com.

Other

Data science in education is a book about the role of data science (with an emphasis upon the use of R) in education. We are writing the book in the open via GitHub:

Bovee, E., Estrellado, R., Mostipak, J., Rosenberg, J. M., & Velaszquez, I. (in preparation). Data science in education [software-related book]. https://github.com/data-edu/data-science-in-education

I also share code and associated files (presentations, pre-prints, and resources) on the Open Science Framework: https://osf.io/xzqbc/