R/toylongdropndata.r

In confoundr: Diagnostics for Confounding of Time-Varying and Other Joint Exposures

#' Artifical data set used to test the functionality of confoundr.
#'
#' The toy_wide_dropoutN data set contains 10,000 records and 52
#' variables. These variables include time-varying exposures,
#' outcomes, and covariates, along with strata and censoring
#' indicators. Time-varying inverse-probability-of-exposure
#' weights and censoring weights are available as well.
#'
#' @docType data
#' @usage data(toy_long_dropoutN)
#'
#' @format A data frame with 3,000 rows and 13 variables:
#' \describe{
#'     \item{uid}{subject ID}
#'     \item{time}{time of observation}
#'     \item{a}{exposure measurement at time t}
#'     \item{l}{covariate measurement at time t}
#'     \item{m}{covariate measurement at time t}
#'     \item{n}{covariate measurement at time t}
#'     \item{o}{covariate measurement at time t}
#'     \item{p}{covariate measurement at time t}
#'     \item{s}{censoring indicator at time t}
#'     \item{h}{exposure history at time t}
#'     \item{hx}{grouped exposure history, by p_0, at time t}
#'     \item{wa}{inverse probability of exposure and censoring weight at time t}
#'     \item{wax}{cumulative inverse probability of exposure weight at time t}
#'     \item{wsx}{cumulative inverse probability of censoring weight at time t}
#'     \item{e5}{propensity score strata at time t}
#'
#'     }
#'
"toy_long_dropoutN"