Nothing
# Set globalVariables to minimize R CMD check notes
if(getRversion() >= "2.15.1"){
# General
utils::globalVariables(c('.'))
# posterior predict
utils::globalVariables(c('e0', 'emax', 'emax', 'exposure', 'ec50', 'respHat', 'sigma', 'mcmcid', 'dataid'))
# plot.stanemax
utils::globalVariables(c('response', 'ci_low', 'ci_med', 'ci_high', 'pi_low', 'pi_high'))
# create cov groups
utils::globalVariables(c('covemax', 'covec50', 'cove0', 'covemaxstr', 'covec50str', 'cove0str',
'covemaxfct', 'covec50fct', 'cove0fct', 'Covariates'))
# replace_prm_names
utils::globalVariables(c('prmname', 'prmname2', 'index', 'prm', 'level'))
}
# Data description
#' Sample simulated data for exposure-response.
#'
#' @format A data frame with columns:
#' \describe{
#' \item{dose}{Dose levels used for simulation of pharmacokinetics}
#' \item{exposure}{Simulated exposure}
#' \item{response}{Simulated pharmacodynamic response}
#' }
#' @examples
#' exposure.response.sample
"exposure.response.sample"
#' Sample simulated data for exposure-response with covariates
#'
#' @format A data frame with columns:
#' \describe{
#' \item{dose}{Dose levels used for simulation of pharmacokinetics}
#' \item{conc}{Simulated exposure}
#' \item{resp}{Simulated pharmacodynamic response}
#' \item{cov1}{Covariate 1 for e0}
#' \item{cov2}{Covariate 2 for emax}
#' \item{cov3}{Covariate 3 for ec50 (data type factor)}
#' \item{cov3num}{Covariate 3 for ec50 (data type numeric)}
#' }
#' @examples
#' exposure.response.sample
"exposure.response.sample.with.cov"
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