R/FRR_YOPData.R

In fastrerandomize: Hardware-Accelerated Rerandomization for Improved Balance

#' YOPData
#'
#' @description Data from a re-analysis of the Youth Opportunities Program anti-poverty RCT 
#' in Uganda, with satellite imagery neural representations linked to RCT units.
#'
#' @format A list containing two data frames:
#' \describe{
#'   \item{RCTData}{Treatment, outcome, and geolocation information}
#'   \item{ImageEmbeddings}{CLIP-RSICD neural embeddings of satellite imagery}
#' }
#' 
#' @source 
#' \itemize{
#'   \item Blattman, C., Fiala, N. and Martinez, S. (2020). The Long-term Impacts 
#'   of Grants on Poverty: Nine-year Evidence from Uganda's Youth Opportunities Program. 
#'   American Economic Review: Insights, 2(3), 287-304.
#'   
#'   \item Jerzak, C.T., Johansson, F.D. and Daoud, A. (2023). Image-based Treatment 
#'   Effect Heterogeneity. Conference on Causal Learning and Reasoning, 531-552. PMLR.
#' }
#' 
#' @name YOPData
#' @docType data
#' @usage data(YOPData)

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