#' @useDynLib PKPDmisc
#' @importFrom Rcpp sourceCpp
#' @importFrom stats lm predict quantile setNames
#' @importFrom utils head read.table tail write.table
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#' One-compartment pharmacokinetic data given single oral dose
#'
#' A dataset containing dose, plasma concentration and time data, as well as
#' demographic data of Age, Weight, Gender, and Race for each individual
#'
#' \itemize{
#' \item ID. Numerical ID (1--50)
#' \item Time. Time in hours (0--24)
#' \item Amt. Amount of drug given, time dependent, in milligrams
#' \item Conc. Plasma concentration in mg/L
#' \item Age. Age in years
#' \item Weight. Weight in kg
#' \item Gender. Male or Female gender identification
#' \item Race. Ethnicity
#' \item Dose. Dose given to each individual in milligrams
#' }
#'
#' @docType data
#' @keywords datasets
#' @name sd_oral_richpk
#' @usage data(sd_oral_richpk)
#' @format A data frame with 4300 rows and 9 variables
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#' IV and oral pharmacokinetic data for daptomycin
#'
#' A dataset containing simulated dapagliflozin PK. A single IV dose followed by 3 escalating oral doses
#'
#' \itemize{
#' \item ID. Numerical ID (1-24)
#' \item TIME. Nominal Time after first dose (hrs)
#' \item TAD. Time After Dose (hrs)
#' \item COBS. Observed Concentration (ug/L)
#' \item AMT_IV. IV dose amount when given (ug)
#' \item AMT_ORAL. Oral dose amount when given (ug)
#' \item OCC. Occasion, associated with each dosing event
#' \item AGE. Age (years)
#' \item WEIGHT Weight (kg)
#' \item GENDER. Gender flag (female=1, male=0)
#' \item FORMULATION Formulation associated with dose (IV or oral)
#' }
#' @docType data
#' @keywords datasets
#' @name dapa_IV_oral
#' @usage data(dapa_IV_oral)
#' @format A data frame with 1536 rows and 11 variables
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