R/oncomsm-package.R

In oncomsm: Bayesian Multi-State Models for Early Oncology

#' The oncomsm package
#'
#' @description This package implements methods to dynamically predict response
#' and progression of individuals in early oncology trials using parametric
#' multi-state models and Bayesian inference.
#' This allows the dynamic computation of Probability of Success for a wide
#' The inference is implemented using 'rstan'.
#'
#' @docType package
#' @name oncomsm-package
#' @aliases oncomsm
#' @useDynLib oncomsm, .registration = TRUE
#' @import methods
#' @import tibble
#' @import stringr
#' @import Rcpp
#' @import dplyr
#' @import purrr
#' @import RcppNumerical
#' @importFrom rstan sampling
#' @importFrom rstantools rstan_config
#' @importFrom rlang .data
#'
#' @references
#' Stan Development Team (2021). "RStan: the R interface to Stan".
#' R package version 2.21.3. https://mc-stan.org
#'
NULL

## usethis namespace: start
#' @importFrom magrittr %>%
#' @importFrom Rcpp sourceCpp
## usethis namespace: end
NULL

# just for not getting RCMD CHECK warnings about undefined.
# (see magrittr package)
. <- NULL