Package: RCT
Title: Assign Treatments, Power Calculations, Balances, Impact
        Evaluation of Experiments
Version: 1.2
Authors@R: person("Isidoro", "Garcia-Urquieta", email = "isidoro.gu@gmail.com", 
  role =c("aut", "cre"))
Description: 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>.
License: GPL-2
Encoding: UTF-8
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
RoxygenNote: 7.3.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-02-21 00:50:55 UTC; isidorogarcia
Author: Isidoro Garcia-Urquieta [aut, cre]
Maintainer: Isidoro Garcia-Urquieta <isidoro.gu@gmail.com>
Repository: CRAN
Date/Publication: 2024-02-21 01:10:02 UTC
Built: R 4.6.0; ; 2026-04-25 13:50:13 UTC; unix
