R: Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects

# Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects

## Documentation for package ‘odr’ version 1.8.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

odr-package | Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects
gen.design.pars | Generate optimal design parameters using ant colony optimization
od.1 | Optimal sample allocation calculation for single-level experiments detecting main effects
od.1.111 | Optimal sample allocation calculation for single-level randomized controlled trials (RCTs) investigating mediation effects (1-1-1)
od.1.111m | Jointly optimal sample allocation identification for single-level randomized controlled trials (RCTs) investigating main and moderation effects (1-1-1m)
od.2 | Optimal sample allocation calculation for two-level CRTs detecting main effects
od.2.221 | Optimal sample allocation calculation for two-level CRTs probing mediation effects with cluster-level mediators
od.2.mod | Optimal sample allocation calculation for two-level CRTs probing moderation effects with cluster-level moderators
od.2m | Optimal sample allocation calculation for two-level MRTs detecting main effects
od.2m.111 | Optimal sample allocation calculation for two-level multisite-randomized trials investigating mediation effects with individual-level mediators (1-1-1)
od.2m.mod | Optimal sample allocation identification for two-level multisite randomized trials (MRTs) investigating main and moderation effects
od.2m.only.mod | Using the first-order derivative method to identify the optimal sample allocations for moderation effects in two-level multisite randomized trials (MRTs)
od.3 | Optimal sample allocation calculation for three-level CRTs detecting main effects
od.3m | Optimal sample allocation calculation for three-level MRTs detecting main effects
od.4 | Optimal sample allocation calculation for four-level CRTs detecting main effects
od.4m | Optimal sample allocation calculation for four-level MRTs detecting main effects
odr | Optimal Design and Statistical Power for Experimental Studies Investigating Main, Mediation, and Moderation Effects
plot.power | Plot statistical power curves under a fixed budget across optimal design parameters
power.1 | Budget and/or sample size, power, MDES calculation for single-level experiments detecting main effects
power.1.111 | Budget and/or sample size, power, MDES calculation for single-level randomized controlled trials (RCTs) investigating mediation effects
power.1.111m | Budget and/or sample size, power, MDES calculation for single-level randomized controlled trials (RCTs) investigating moderation effects (1-1-1m)
power.2 | Budget and/or sample size, power, MDES calculation for two-level CRTs detecting main effects
power.2.221 | Budget and/or sample size, power calculation for CRTs probing mediation effects with cluster-level mediators
power.2.mod | Statistical power, sample size (and/or budget), minimum detectable moderator effect size calculation for two-level cluster-randomized trials (CRTs) detecting moderation effects
power.2m | Budget and/or sample size, power, MDES calculation for two-level MRTs detecting main effects
power.2m.111 | Budget and/or sample size, power, MDES calculation for MRTs investigating mediation effects with individual-level mediators
power.2m.mod | Statistical power, sample size (and/or budget), minimum detectable moderator effect size calculation for two-level multisite randomized trials (MRTs) detecting moderation effects
power.3 | Budget and/or sample size, power, MDES calculation for three-level CRTs detecting main effects
power.3m | Budget and/or sample size, power, MDES calculation for three-level MRTs detecting main effects
power.4 | Budget and/or sample size, power, MDES calculation for four-level CRTs detecting main effects
power.4m | Budget and/or sample size, power, MDES calculation for four-level MRTs detecting main effects
re | Relative efficiency (RE) calculation
rpe | Relative precision and efficiency (RPE) calculation