R: Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling

# Automatic Generation of Initial Estimates for Population Pharmacokinetic Modeling

## Documentation for package ‘nlmixr2autoinit’ version 1.0.0

- DESCRIPTION file

## Help Pages

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