R/BayesPPDSurv-package.R

In BayesPPDSurv: Bayesian Power Prior Design for Survival Data

## usethis namespace: start
#' @importFrom Rcpp evalCpp
#' @useDynLib BayesPPDSurv,.registration = TRUE
## usethis namespace: end
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#' Bayesian sample size determination using the power and normalized power prior for survival data
#'
#' The \pkg{BayesPPDSurv} (Bayesian Power Prior Design for Survival Data) package provides two categories of functions:
#' functions for Bayesian power/type I error calculation and functions for model fitting.
#' 
#' @references Ibrahim, J. G., Chen, M.-H. and Sinha, D. (2001). Bayesian Survival Analysis. New York: Springer Science & Business Media.
#'
#' Psioda, M. A. and Ibrahim, J. G. (2019). Bayesian clinical trial design using historical data that inform the treatment effect. Biostatistics 20, 400–415.
#' 
#' Shen, Y., Psioda, M. A., and Joseph, J. G. (2023). BayesPPD: an R package for Bayesian sample size determination using the power and normalized power prior for generalized linear models. The R Journal, 14(4).
#' @docType package
#' @name BayesPPDSurv-package
NULL
#> NULL