| run_npd_3cmpt_iv | R Documentation |
Fits a three-compartment intravenous pharmacokinetic model using a naive pooled data approach and evaluates model performance based on prediction error metrics.
run_npd_3cmpt_iv(
dat,
est.method = "nls",
input.cl = exp(1),
input.vc3cmpt = exp(1),
input.vp3cmpt = exp(1),
input.vp23cmpt = exp(1),
input.q3cmpt = exp(1),
input.q23cmpt = exp(1),
input.add = 1
)
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. |
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.
A list containing fitted parameter estimates and model prediction error metrics.
Zhonghui Huang
Fit_3cmpt_iv
run_npd_3cmpt_iv(
dat = Bolus_2CPT,
input.cl = 4,
input.vc3cmpt = 70,
input.vp3cmpt = 40,
input.vp23cmpt = 10,
input.q3cmpt = 4,
input.q23cmpt = 4
)
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