Some Recent Projects
Upcoming/Recent Papers and Presentations
NCES STATS-DC 2023: U.S. Program for the International Assessment of Adult Competencies Small Area Estimation and Skills Map
GASP 2023: Developing Documented, Trustworthy R Packages for Official Survey Statistics (Video available at above link)
JSM 2022: Using Shape-filling Curves to Form Area Sampling Units
JSM 2022: Statistical data integration using multilevel models to predict employee compensation
The Canadian Journal of Statistics 2022: “Statistical data integration using multilevel models to predict employee compensation”
U.S. Department of Education Office of Special Education Programs 2022 Leadership and Project Director’s Conference: “Who Didn’t Respond? Analyzing Nonresponse Bias in Survey Data” (Video available at above link)
R Packages
Personal and Collaborative R Packages
svrep: svrep provides methods for creating, updating, and analyzing replicate weights for surveys. Functions from svrep can be used to implement adjustments to replicate designs (e.g. nonresponse weighting class adjustments) and analyze their effect on the replicate weights and on estimates of interest.
srvyr: I contribute to the ‘srvyr’ package as an author, fixing bugs and occasionally adding new functionality. A description of the package is below:
srvyr brings parts of dplyr’s syntax to survey analysis, using the survey package. srvyr focuses on calculating summary statistics from survey data, such as the mean, total or quantile. It allows for the use of many dplyr verbs, such as summarize, group_by, and mutate, the convenience of pipe-able functions
fastsurvey: An experimental update to the ‘survey’ package to speed up calculations by using C++ for variance estimation. I’m hoping that this work will eventually be suitable to incorporate into the ‘survey’ package itself.
schneidr: A personal R package with utilities for data visualization, data wrangling, and mathematical statistics.