run_npd_3cmpt_iv: Run and evaluate a three-compartment IV model
Description
Fits a three-compartment intravenous pharmacokinetic model using a naive
pooled data approach and evaluates model performance based on prediction
error metrics.
A list containing fitted parameter estimates and model prediction
error metrics.
Arguments
dat
A data frame containing raw intravenous concentration–time data in
standard nlmixr2 format.
est.method
Estimation method used in nlmixr2. Defaults to "nls".
input.cl
Initial estimate for clearance (CL). Defaults to exp(1),
corresponding to a log-scale value of 1.
input.vc3cmpt
Initial estimate for central volume of distribution (Vc).
Defaults to exp(1), corresponding to a log-scale value of 1.
input.vp3cmpt
Initial estimate for first peripheral volume (Vp1).
Defaults to exp(1), corresponding to a log-scale value of 1.
input.vp23cmpt
Initial estimate for second peripheral volume (Vp2).
Defaults to exp(1), corresponding to a log-scale value of 1.
input.q3cmpt
Initial estimate for intercompartmental clearance between
central and first peripheral compartments (Q1). Defaults to exp(1),
corresponding to a log-scale value of 1.
input.q23cmpt
Initial estimate for intercompartmental clearance between
central and second peripheral compartments (Q2). Defaults to exp(1),
corresponding to a log-scale value of 1.
input.add
Additive error term. Defaults to 1.
Author
Zhonghui Huang
Details
Rows with EVID == 2 are excluded prior to model fitting. The model is
fitted using Fit_3cmpt_iv, and prediction-based metrics are calculated to
evaluate performance.