R/tipr-package.R

In LucyMcGowan/tipr: Tipping Point Analyses

#' tipr
#'
#' The tipr package.
#'
#' @references
#'
#' D'Agostino McGowan, L, (2022). tipr: An R package for sensitivity analyses
#' for unmeasured confounders. Journal of Open Source Software, 7(77), 4495.
#'
#' D’Agostino McGowan, L. (2022). Sensitivity Analyses for Unmeasured
#' Confounders. Current Epidemiology Reports, 9(4), 361-375.
#'
#' VanderWeele, TJ, and Peng D (2017). Sensitivity Analysis in Observational
#' Research: Introducing the E-Value. Ann Intern Med, 167(4), 268–74.
#'
#' Cinelli, C, & Hazlett, C (2020). Making sense of sensitivity: Extending
#' omitted variable bias. Journal of the Royal Statistical Society: Series B
#' (Statistical Methodology), 82(1), 39–67.
#'
#' Lin, DY, Psaty, BM, & Kronmal, RA. (1998). Assessing the sensitivity
#' of regression results to unmeasured confounders in observational studies.
#' Biometrics, 54(3), 948–963.
#'
#'
#' @importFrom purrr %||%
#' @importFrom purrr %>%
#' @keywords internal
"_PACKAGE"