| run_npd_3cmpt_oral | R Documentation |
Fits a three-compartment oral pharmacokinetic model using a naive pooled data approach and evaluates model performance using prediction error metrics.
run_npd_3cmpt_oral(
dat,
est.method = "nls",
input.ka = exp(1),
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 pharmacokinetic data in the standard
nlmixr2 format, including required columns such as |
est.method |
Estimation method used in nlmixr2. Defaults to "nls". |
input.ka |
Initial estimate for the absorption rate constant (Ka). Defaults to exp(1), corresponding to a log-scale value of 1. |
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 Q1. Defaults to exp(1), corresponding to a log-scale value of 1. |
input.q23cmpt |
Initial estimate for intercompartmental clearance 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_oral, and prediction-based metrics are calculated to
assess model performance.
A list containing parameter estimates and prediction error metrics.
Zhonghui Huang
Fit_3cmpt_oral
run_npd_3cmpt_oral(
dat = Oral_2CPT,
input.cl = 4,
input.vc3cmpt = 70,
input.vp3cmpt = 40,
input.vp23cmpt = 40,
input.q3cmpt = 4,
input.q23cmpt = 4
)
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