Software
I contribute to open-source statistical software for multilevel modeling and effect size estimation in single-case experimental designs.
lmeInfo
R package
Tools for computing analytic derivatives and information matrices for linear mixed-effects and generalized least squares models fitted with nlme. The package supports inference for variance components and estimation of design-comparable standardized mean differences.
Coauthors: James E. Pustejovsky and Man Chen.
scdhlm
R package and web application
Tools for estimating hierarchical linear models and between-case standardized mean differences from single-case designs. These effect sizes support comparisons with results from between-subjects randomized experiments. The package accommodates treatment reversal, multiple baseline, and multiple probe designs, including more complex multilevel structures.
The accompanying web application provides an interactive calculator for between-case standardized mean differences.
Package coauthors: James E. Pustejovsky, Man Chen, and Bethany H. Bhat.
Web application coauthors: James E. Pustejovsky, Man Chen, Bethany H. Bhat, and Paulina Grekov.
SingleCaseES
R package and web application
A toolkit for calculating effect sizes for single-case designs, including non-overlap measures, within-case standardized mean differences, and response ratios. Standard errors and confidence intervals are available for measures with known sampling distributions.
The single-case effect size calculator offers an interactive interface to these measures. The project documentation recommends the hosted app for demonstrations; for research, install the R package and run its interface locally in RStudio.
Package and web application coauthors: James E. Pustejovsky, Man Chen, Paulina Grekov, and Daniel M. Swan.