Optimal Design and Statistical Power of Multilevel Randomized Trials


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Documentation for package ‘odr’ version 1.2.1

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odr-package Optimal Design and Statistical Power of Multilevel Randomized Trials
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.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.2m Optimal sample allocation calculation for two-level MRTs detecting main effects
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 of Multilevel Randomized Trials
power.1 Budget and/or sample size, power, MDES calculation for single-level experiments detecting main effects
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, MDES calculation for CRTs probing mediation effects with cluster-level mediators
power.2m Budget and/or sample size, power, MDES calculation for two-level MRTs detecting main 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