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) <doi:10.48550/arXiv.1607.00698>.

Version: 1.2
Imports: dplyr, purrr, glue, rlang, tidyr, stringr, MASS, pracma, estimatr, broom (≥ 1.0.0), forcats, magrittr, ggplot2, utils, tidyselect (≥ 1.0.0)
Suggests: knitr, rmarkdown, testthat
Published: 2024-02-21
DOI: 10.32614/CRAN.package.RCT
Author: Isidoro Garcia-Urquieta [aut, cre]
Maintainer: Isidoro Garcia-Urquieta <isidoro.gu at gmail.com>
License: GPL-2
NeedsCompilation: no
Citation: RCT citation info
Materials: README NEWS
CRAN checks: RCT results


Reference manual: RCT.pdf
Vignettes: my-vignette


Package source: RCT_1.2.tar.gz
Windows binaries: r-devel: RCT_1.2.zip, r-release: RCT_1.2.zip, r-oldrel: RCT_1.2.zip
macOS binaries: r-release (arm64): RCT_1.2.tgz, r-oldrel (arm64): RCT_1.2.tgz, r-release (x86_64): RCT_1.2.tgz, r-oldrel (x86_64): RCT_1.2.tgz
Old sources: RCT archive


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