Software

R Shiny App: SPODE

This is an in-progress Shiny app for optimal design.  

Shen, Z., & Kelcey, B. (in progress). SPODE: Statistical power and optimal design of experiments detecting main, mediation, and moderation effects. https://odrshiny.shinyapps.io/optimalSampling/

R package anomo

This package is to help researchers conduct analysis to compare the effects in two studies using the summary statistics from two studies (e.g., estimated effects and their standard errors). The Monte Carlo confidence interval (MCCI) computed can be used to draw inferences about whether the two effects are different or equivalence.

​Suggested Citation (in APA format): Shen, Z. (2024). anomo: Analysis of Moderation with the Monte Carlo confidence interval (MCCI) method (Version 0.5.2) [Software]. https://cran.r-project.org/package=anomo​

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 Citation (in APA format): Shen, Z., & Kelcey, B. (2023). odr: Optimal design and statistical power for experimental studies investigating main, mediation, and moderation effects (Version 1.4.4) [Software]. https://cran.r-project.org/package=odr​

R package SEMsens

This package is to help researchers conduct sensitivity analysis for studies employing structural equation modeling.

​Suggested Citation (in APA format): Leite, W., Shen, Z., Fist, C., Suen, K., & Marcoulides, K. (2022). SEMsens: A tool for sensitivity analysis in structural equation modeling (Version 1.5.5) [Software]. https://cran.r-project.org/package=SEMsens