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R package odr
This package is to help researchers design cost-efficient and effective (multilevel) experiments investigating main, mediation, and moderation effects by (a) solving optimal sample allocations that use the minimum budget to achieve adequate power; (b) comparing design efficiency between different sample allocations; and (c) explicitly accommodating costs and budget in power analyses.
Suggested reference (in APA format): Shen, Z., & Kelcey, B. (2026). odr: Optimal design and statistical power for experimental studies investigating main, mediation, and moderation effects (Version 1.8.3) [Software]. https://cran.r-project.org/package=odr
R Shiny App Od4main
This Shiny app can perform statistical power analysis and optimal design for experiments investigating main or average treatment effects. The underlying computation is performed by the R package odr.
Suggested reference (in APA format): Li, J., Shen, Z., & Kelcey, B. (2026). Od-main: Statistical power and optimal design of experiments investigating main or average treatment effects [Shiny app]. https://allocator.shinyapps.io/od4main
R Shiny App Od4mod
This in-progress Shiny app can perform statistical power analysis and jointly optimal design of experiments investigating moderation and main effects. The underlying computation is performed by the R package odr.
Suggested reference (in APA format): Shen, Z., Li, J., & Kelcey, B. (2026). Od-mod: Statistical power and jointly optimal design of experiments investigating moderation and main effects [Shiny app]. https://allocator.shinyapps.io/od4mod