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RCT

Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments

Assists in the whole process of designing and evaluating Randomized Control Trials. Robust treatment assignment by strata/blocks, that handles misfits; Power calculations of the minimum detectable treatment effect or minimum populations; Balance tables of T-test of covariates; Balance Regression: (treatment ~ all x variables) with F-test of null model; Impact_evaluation: Impact evaluation regressions. This function gives you the option to include control_vars, fixed effect variables, cluster variables (for robust SE), multiple endogenous variables and multiple heterogeneous variables (to test treatment effect heterogeneity) summary_statistics: Function that creates a summary statistics table with statistics rank observations in n groups: Creates a factor variable with n groups. Each group has a min and max label attach to each category. Athey, Susan, and Guido W. Imbens (2017) <arXiv:1607.00698>.

Versions across snapshots

VersionRepositoryFileSize
1.2 rolling linux/jammy R-4.5 RCT_1.2.tar.gz 67.8 KiB
1.2 rolling linux/noble R-4.5 RCT_1.2.tar.gz 67.5 KiB
1.2 rolling source/ R- RCT_1.2.tar.gz 27.9 KiB
1.2 latest linux/jammy R-4.5 RCT_1.2.tar.gz 67.8 KiB
1.2 latest linux/noble R-4.5 RCT_1.2.tar.gz 67.5 KiB
1.2 latest source/ R- RCT_1.2.tar.gz 27.9 KiB
1.2 2026-04-26 source/ R- RCT_1.2.tar.gz 27.9 KiB
1.2 2026-04-23 source/ R- RCT_1.2.tar.gz 27.9 KiB
1.2 2026-04-09 windows/windows R-4.5 RCT_1.2.zip 72.0 KiB
1.2 2025-04-20 source/ R- RCT_1.2.tar.gz 27.9 KiB

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