| theo_sd_fit | R Documentation |
Single-dose theophylline PK data fit using the first-order conditional estimation method with interaction (FOCEI) in 'nlmixr', a modified tibble.
data("theo_sd_fit")
A tibble with 132 observations and 22 variables, and an additional 13 properties.
IDIndividual identifier, a factor
TIMETime in hours, a numeric vector
DVTheophylline concentration, a numeric vector
EVIDEvent identifier, a numeric vector
PREDPopulation predictions, a numeric vector
RESResiduals, a numeric vector
WRESWeighted residuals, a numeric vector
IPREDIndividual predictions, a numeric vector
IRESIndividual residuals, a numeric vector
IWRESIndividual weighted residuals, a numeric vector
CPREDConditional predictions, a numeric vector
CRESConditional residuals, a numeric vector
CWRESConditional weighted residuals, a numeric vector
eta.kaInterindividual variability in ka, a numeric vector
eta.clInterindividual variability in CL/F, a numeric vector
eta.vInterindividual variability in V/F, a numeric vector
kaAbsorption rate in /h, a numeric vector
clApparent clearance in L/h, a numeric vector
vApparent volume of distribution in L, a numeric vector
cpTheophylline concentration, a numeric vector
depotAmount of theophylline in the depot compartment, a numeric vector
centerAmount of theophylline in the central compartment, a numeric vector
omegaOmega matrix
omegaROmega Correlation matrix
shrinkShrinkage table, includes skewness, kurtosis, and eta p-values
parFixedFixed Effect Parameter Table
thetaFixed Parameter Estimates
etaIndividual Parameter Estimates
seedSeed (if applicable)
coefficientsFixed and random coefficients
metaModel meta information environment
modelNameModel name (from R function)
dataNameName of R data input
simInfoRxODE list for simulation
sigmaList of sigma components and their values
This dataset is an nlmixr fit object for demonstrating the use of xpose.nlmixr.
NONMEM/nlme.
data(theo_sd_fit) str(theo_sd_fit)
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