The structural model and its typical parameter values are public inputs: they must be established without inspecting the confidential dataset. For a first-in-human compound they normally come from preclinical allometric scaling, which is also what selected the starting dose.
Usage
pmx_structural_model(
pk,
typical,
pd = "none",
source,
rx = NULL,
iiv = c(cl = 0.3, v = 0.2),
residual_cv = 0.15
)Arguments
- pk
One of
"1cmt_iv","1cmt_oral","1cmt_infusion","2cmt_iv","2cmt_oral".- typical
Named numeric vector of typical parameter values, interpreted as the median of a lognormal population. Requires
clandv(the central volume), pluskafor oral models andqandv2for two-compartment models. Optionalfdefaults to 1. PD shapes additionally requirebaseline, plusslopefor"linear"andplateauandratefor"exponential".- pd
The PD time course, with no exposure dependence. One of
"none"(PK only),"constant","linear"(needsslope), or"exponential"(needsplateauandrate, covering both decay and growth). A simple shape is adequate for exercising longitudinal code and calibrates through a well-conditioned level correction.- source
Required provenance string recording where the model and its typical values came from. Recorded in the release ledger.
- rx
Reserved for an
rxode2model. Not yet implemented: the value is stored on the returned object but the generator always evaluates the built-in analytic solution, so supplying it warns.- iiv
Named vector of between-subject variability, as CV on the log scale. A public assumption; it consumes no privacy budget.
- residual_cv
Proportional residual error, as a CV.