Package index • pkident

Define a problem

Describe the model, the doses, the observed outputs and the residual error.

pkpd_model(): Define a model for identifiability analysis
bolus_dose() infusion_dose(): Dose specifications
residual_error(): Residual error model
experiment(): One experiment of a design

Structural identifiability

Which parameters, or combinations such as V/F, can be determined from noise-free continuous data.

structural_identifiability(): Structural identifiability

Practical identifiability and design

How precisely a sampling design would estimate each parameter, and which added measurement would help.

practical_identifiability(): Practical identifiability for a given design
compare_designs(): Compare candidate designs

Fitted models

Whether the likelihood profiles of an nlmixr2 fit are bounded or flat.

classify_profiles(): Classify likelihood profiles of an nlmixr2 fit

Reference models and results

reference_models() reference_model(): Reference models with known identifiability
as_table(): Extract result tables