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

Documentation:

Reference manual:	RCT.pdf
Vignettes:	my-vignette (source, R code)

Downloads:

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-devel (arm64): RCT_1.2.tgz, r-release (arm64): RCT_1.2.tgz, r-oldrel (arm64): RCT_1.2.tgz, r-devel (x86_64): RCT_1.2.tgz, r-release (x86_64): RCT_1.2.tgz, r-oldrel (x86_64): RCT_1.2.tgz
Old sources:	RCT archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RCT to link to this page.