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
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)
force_find_lambdaz      Forceful estimation of terminal slope
getOmegas               Generate ETA variance and covariance table
getPPKinits             Automated pipeline for generating initial
                        estimates in population PK models
get_hf                  Estimate half-life from pooled pharmacokinetic
                        data
get_pooled_data         Generate pooled data for pharmacokinetic
                        analysis
getnca                  Perform non-compartmental pharmacokinetic
                        analysis
getsigma                Compute overall residual variability from
                        elimination phase
getsigmas               Estimate individual-level residual error from
                        the elimination phase
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
