R packages I’ve written or actively maintain. Most exist because a piece of applied work needed a tool that didn’t quite fit existing libraries — convenience functions for education data, diagnostics for mixed-effects models, enrollment forecasting under demographic scenarios. CRAN status, GitHub source, and docs are linked on each card.
R Packages
R packages I maintain or have contributed to — tools for education-policy data, mixed-effects models, and applied forecasting.
merTools
CRANA package for getting the most of our multilevel models in R. Working with generalized linear mixed models (GLMM) and linear mixed models (LMM) has become increasingly easy with advances in the lme4 package. As we have found ourselves using these models more and more within our work, we, the authors, have developed a set of tools for simplifying and speeding up common tasks for interacting with merMod objects from lme4. This package provides those tools.
eeptools
CRANMy first R package. It makes it easier for analysts at state and local education agencies to analyze and visualize their data on student, school, and district performance. By putting simple wrappers around a number of R functions, eeptools strives to make many common tasks simpler and less prone to error specific to analysis of education data.