% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{gfo4cov}
\alias{gfo4cov}
\title{Warfarin PopPK model fitting output (4-covariate model)}
\format{
\subsection{\code{gfo4cov}}{

A named list with 12 elements:
\describe{
\item{PROJNAME}{character string identifying the project run (\code{"run_4cov"})}
\item{SUMTAB}{data frame with 15 rows and 11 columns containing the parameter
summary table. Columns: \code{PAR} (parameter name), \code{VALUE} (estimate),
\code{TYPE} (category: \code{"Typical values"}, \code{"Covariate effects"},
\code{"Random effects"}, or \code{"Residual error model"}), \code{EST}
(estimation status), \code{SE} (standard error), \code{RSE} (relative SE, \\%),
\code{LCI} and \code{UCI} (95\\% confidence interval bounds),
\code{ETAshrinkage_var}, \code{ETAshrinkage_sd}, \code{EPSshrinkage_sd} (shrinkage metrics).}
\item{SDTAB}{data frame with 1600 rows and 11 columns — the standard table of
observations and model predictions. Columns: \code{ID}, \code{TIME}, \code{DV}
(observed), \code{DVID}, \code{PRED} (population prediction), \code{IPRED}
(individual prediction), \code{RES} (residual), \code{IRES} (individual residual),
\code{WRES} (weighted residual), \code{IWRES} (individual weighted residual), \code{MDV}.}
\item{PATAB}{data frame with 100 rows and 7 columns — individual parameter table.
Columns: \code{ID}, \code{eta_ka}, \code{eta_Vd}, \code{eta_CL}
(individual ETA random effects), \code{ka}, \code{Vd}, \code{CL}
(individual post-hoc PK parameter estimates).}
\item{COVMAT}{15 \eqn{\times} 15 numeric matrix — covariance matrix of the
population parameter estimates.}
\item{CORRMAT}{15 \eqn{\times} 15 numeric matrix — correlation matrix of the
population parameter estimates.}
\item{OFV}{data frame with 1 row and 4 columns — model fit criteria:
\code{LL} (log-likelihood), \code{AIC}, \code{BIC}, \code{BICc}.}
\item{OMEGAMAT}{3 \eqn{\times} 3 numeric matrix — OMEGA variance-covariance
matrix of the inter-individual random effects (\code{eta_ka}, \code{eta_Vd}, \code{eta_CL}).}
\item{SIGMAMAT}{1 \eqn{\times} 1 numeric matrix — SIGMA residual error
variance matrix.}
\item{EVTAB}{data frame with 100 rows and 6 columns — dosing/event table.
Columns: \code{ID}, \code{TIME}, \code{EVID}, \code{AMT}, \code{ADM}, \code{CMT}.}
\item{COTAB}{data frame with 100 rows and 6 columns — continuous covariate table.
Columns: \code{ID}, \code{AGE}, \code{WEIGHT}, \code{BMI},
\code{LG_WEIGHT} (log10-transformed weight), \code{LG_AGE} (log10-transformed age).}
\item{CATAB}{data frame with 100 rows and 4 columns — categorical covariate table.
Columns: \code{ID}, \code{SEX} (0 = female, 1 = male),
\code{CYP2C9} (genotype integer code, 0–5),
\code{VKORC1} (genotype: \code{"GG"}, \code{"AG"}, or \code{"AA"}).}
}
}
}
\source{
Generated from the warfarin PopPK model fitting run \code{"run_4cov"} used
in the covariate sensitivity analysis workflow.
}
\usage{
gfo4cov
}
\description{
A list containing the full output of a warfarin population pharmacokinetic
model fit with four covariates (SEX, LG_WEIGHT, CYP2C9, VKORC1), including
parameter estimates, model diagnostics, individual predictions, and covariate data.
}
\keyword{datasets}
