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.
ID
Individual identifier, a factor
TIME
Time in hours, a numeric vector
DV
Theophylline concentration, a numeric vector
EVID
Event identifier, a numeric vector
PRED
Population predictions, a numeric vector
RES
Residuals, a numeric vector
WRES
Weighted residuals, a numeric vector
IPRED
Individual predictions, a numeric vector
IRES
Individual residuals, a numeric vector
IWRES
Individual weighted residuals, a numeric vector
CPRED
Conditional predictions, a numeric vector
CRES
Conditional residuals, a numeric vector
CWRES
Conditional weighted residuals, a numeric vector
eta.ka
Interindividual variability in ka, a numeric vector
eta.cl
Interindividual variability in CL/F, a numeric vector
eta.v
Interindividual variability in V/F, a numeric vector
ka
Absorption rate in /h, a numeric vector
cl
Apparent clearance in L/h, a numeric vector
v
Apparent volume of distribution in L, a numeric vector
cp
Theophylline concentration, a numeric vector
depot
Amount of theophylline in the depot compartment, a numeric vector
center
Amount of theophylline in the central compartment, a numeric vector
omega
Omega matrix
omegaR
Omega Correlation matrix
shrink
Shrinkage table, includes skewness, kurtosis, and eta p-values
parFixed
Fixed Effect Parameter Table
theta
Fixed Parameter Estimates
eta
Individual Parameter Estimates
seed
Seed (if applicable)
coefficients
Fixed and random coefficients
meta
Model meta information environment
modelName
Model name (from R function)
dataName
Name of R data input
simInfo
RxODE list for simulation
sigma
List 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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