Showing 9 of total 9 results (show query)
billdenney
PKNCA:Perform Pharmacokinetic Non-Compartmental Analysis
Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.
Maintained by Bill Denney. Last updated 1 months ago.
ncanoncompartmental-analysispharmacokinetics
73 stars 12.53 score 214 scripts 4 dependents
andrewhooker
PopED:Population (and Individual) Optimal Experimental Design
Optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004) <doi:10.1016/S0169-2607(03)00073-7>.
Maintained by Andrew C. Hooker. Last updated 6 months ago.
nlmeoptimal-designpharmacodynamicspharmacokineticspharmacometricspkpdpopulationpopulation-model
33 stars 9.58 score 300 scripts 1 dependents
insightrx
PKPDsim:Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations
Simulate dose regimens for pharmacokinetic-pharmacodynamic (PK-PD) models described by differential equation (DE) systems. Simulation using ADVAN-style analytical equations is also supported (Abuhelwa et al. (2015) <doi:10.1016/j.vascn.2015.03.004>).
Maintained by Ron Keizer. Last updated 1 months ago.
odepharmacodynamicspharmacokineticspharmacometricscpp
36 stars 9.44 score 100 scriptsinsightrx
clinPK:Clinical Pharmacokinetics Toolkit
Provides equations commonly used in clinical pharmacokinetics and clinical pharmacology, such as equations for dose individualization, compartmental pharmacokinetics, drug exposure, anthropomorphic calculations, clinical chemistry, and conversion of common clinical parameters. Where possible and relevant, it provides multiple published and peer-reviewed equations within the respective R function.
Maintained by Ron Keizer. Last updated 2 months ago.
clinical-researchpharmacokinetics
31 stars 6.66 score 55 scripts
kestrel99
pmxTools:Pharmacometric and Pharmacokinetic Toolkit
Pharmacometric tools for common data analytical tasks; closed-form solutions for calculating concentrations at given times after dosing based on compartmental PK models (1-compartment, 2-compartment and 3-compartment, covering infusions, zero- and first-order absorption, and lag times, after single doses and at steady state, per Bertrand & Mentre (2008) <http://lixoft.com/wp-content/uploads/2016/03/PKPDlibrary.pdf>); parametric simulation from NONMEM-generated parameter estimates and other output; and parsing, tabulating and plotting results generated by Perl-speaks-NONMEM (PsN).
Maintained by Justin Wilkins. Last updated 8 months ago.
nonmempharmacokineticssimulation
32 stars 6.43 score 84 scripts
nanhung
pksensi:Global Sensitivity Analysis in Physiologically Based Kinetic Modeling
Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters. The workflow was first mentioned in Hsieh et al., (2018) <doi:10.3389/fphar.2018.00588>, then further refined (Hsieh et al., 2020 <doi:10.1016/j.softx.2020.100609>).
Maintained by Nan-Hung Hsieh. Last updated 4 months ago.
gnu-mcsimpharmacokineticssensitivitysensitivity-analysis
5 stars 5.64 score 88 scripts
levenc
posologyr:Individual Dose Optimization using Population Pharmacokinetics
Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, 'posologyr' offers accurate posterior estimates and helps compute optimal individualized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
Maintained by Cyril Leven. Last updated 22 days ago.
bayesianmodel-informed-precision-dosingpharmacokineticsprecision-medicinetherapeutic-drug-monitoring
12 stars 4.68 score 9 scripts
accelstab
AccelStab:Accelerated Stability Kinetic Modelling
Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Maintained by Ben Wells. Last updated 2 months ago.
arrheniuskineticsmodellingnon-linear-modelpharmaceuticalspharmacokineticssestak-berggrenstabilitystatisticstemperaturetemperature-excursionvaccine
2 stars 4.08 score 2 scripts
asancpt
caffsim:Simulation of Plasma Caffeine Concentrations by Using Population Pharmacokinetic Model
Simulate plasma caffeine concentrations using population pharmacokinetic model described in Lee, Kim, Perera, McLachlan and Bae (2015) <doi:10.1007/s00431-015-2581-x> and the package was published <doi:10.12793/tcp.2017.25.3.141>.
Maintained by Sungpil Han. Last updated 5 years ago.
caffeinemedicinemonte-carlo-simulationpharmacokineticspharmacometricstoxicology
9 stars 3.77 score 13 scripts