| approx.vc | Approximate volume of distribution from observed Cmax |
| bin.time | Bin time-concentration data using quantile or algorithmic binning |
| calculate_cl | Calculate clearance using an adaptive single-point method |
| calculate_tad | Calculate time after dose for pharmacokinetic data |
| calculate_vd | Calculates volume of distribution from concentration data |
| eval_perf_1cmpt | Evaluates predictive performance of a one-compartment model |
| fallback_control | Control settings for fallback rules in parameter estimation |
| find_best_lambdaz | Find the best terminal elimination rate constant (lambdaz) |
| Fit_1cmpt_iv | Fit intravenous pharmacokinetic data to a one-compartment linear elimination model |
| Fit_1cmpt_mm_iv | Fit intravenous pharmacokinetic data to a one-compartment model with Michaelis-Menten elimination |
| Fit_1cmpt_mm_oral | Fit oral pharmacokinetic data to a one-compartment model with Michaelis-Menten elimination |
| Fit_1cmpt_oral | Fit oral pharmacokinetic data to a one-compartment linear elimination model |
| Fit_2cmpt_iv | Fit intravenous pharmacokinetic data to a two-compartment linear elimination model |
| Fit_2cmpt_oral | Fit oral pharmacokinetic data to a two-compartment model |
| Fit_3cmpt_iv | Fit intravenous pharmacokinetic data to a three-compartment linear elimination model |
| Fit_3cmpt_oral | Fit oral pharmacokinetic data to a three-compartment linear elimination model |
| force_find_lambdaz | Forceful estimation of terminal slope |
| getnca | Perform non-compartmental pharmacokinetic analysis |
| getOmegas | Generate ETA variance and covariance table |
| getPPKinits | Automated pipeline for generating initial estimates in population PK models |
| getsigma | Compute overall residual variability from elimination phase |
| getsigmas | Estimate individual-level residual error from the elimination phase |
| get_hf | Estimate half-life from pooled pharmacokinetic data |
| get_pooled_data | Generate pooled data for pharmacokinetic analysis |
| graphcal_iv | Graphical calculation of clearance and volume of distribution (IV route) |
| graphcal_oral | Graphical calculation of pharmacokinetic parameters for oral administration |
| hybrid_eval_perf_1cmpt | Generate Unique Mixture Parameter Grid (with Deduplication and NA Removal) |
| initsControl | Create full control list for initial parameter estimation |
| is_ss | Determine steady state for pharmacokinetic observations |
| ka_calculation_md | Calculate absorption rate constant (ka) in a multiple-dose one-compartment model |
| ka_calculation_sd | Estimate absorption rate constant in a one-compartment oral model |
| ka_wanger_nelson | Calculate the absorption rate constant using the Wagner-Nelson method |
| mark_dose_number | Mark dose number |
| metrics. | Calculate metrics for model predictive performance evaluation |
| nca_control | Control options for non-compartmental analysis |
| nmpkconvert | Expand additional dosing (ADDL) records for pharmacokinetic analysis |
| pooled_control | Control settings for pooled data analysis |
| print.getPPKinits | Print method for 'getPPKinits' objects |
| processData | Process time–concentration dataset for pharmacokinetic analysis |
| run_graphcal | Run graphical analysis of pharmacokinetic parameters |
| run_ka_solution | Estimate the absorption rate constant using pointwise methods |
| run_npd_1cmpt_iv | Run and evaluate a one-compartment IV model |
| run_npd_1cmpt_mm_iv | Run and evaluate a one-compartment IV Michaelis-Menten model |
| run_npd_1cmpt_mm_oral | Run and evaluate a one-compartment oral model with Michaelis-Menten kinetics |
| run_npd_1cmpt_oral | Run and evaluate a one-compartment oral model |
| run_npd_2cmpt_iv | Run and evaluate a two-compartment IV model |
| run_npd_2cmpt_oral | Run and evaluate a two-compartment oral model |
| run_npd_3cmpt_iv | Run and evaluate a three-compartment IV model |
| run_npd_3cmpt_oral | Run and evaluate a three-compartment oral model |
| run_pooled_nca | Performs non-compartmental analysis on pooled data |
| run_single_point | Run full adaptive single-point PK analysis |
| run_single_point_base | Run adaptive single-point pharmacokinetic analysis |
| run_single_point_extra | Perform extended single-point pharmacokinetic calculations |
| sim_sens_1cmpt_mm | Parameter sweeping for a one-compartment Michaelis-Menten model |
| sim_sens_2cmpt | Parameter sweeping for a two-compartment pharmacokinetic model |
| sim_sens_3cmpt | Parameter sweeping for a three-compartment pharmacokinetic model |
| ss_control | Internal control builder for steady-state evaluation |
| trapezoidal_linear | Linear trapezoidal rule |
| trapezoidal_linear_up_log_down | Linear-up and log-down trapezoidal rule |
| trimmed_geom_mean | Computes the trimmed geometric mean |