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pkpd.Release  

Model Fitting and Simulation for Drug Release Kinetics and PK/PD
View on CRAN: Click here


Download and install pkpd.Release package within the R console
Install from CRAN:
install.packages("pkpd.Release")

Install from Github:
library("remotes")
install_github("cran/pkpd.Release")

Install by package version:
library("remotes")
install_version("pkpd.Release", "0.1.0")



Attach the package and use:
library("pkpd.Release")
Maintained by
Paul Angelo C. Manlapaz
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-27
Latest Update: 2026-01-27
Description:
Provides a comprehensive framework for model fitting and simulation of drug release kinetics, pharmacokinetics (PK), and pharmacodynamics (PD). The package implements widely used mechanistic and empirical models for in vitro drug release, including zero-order, first-order, Higuchi, Korsmeyer-Peppas, Hixson-Crowell, and Weibull models. Pharmacokinetic functionality includes linear and nonlinear functions for one- and two-compartment models for intravenous bolus and oral administration, Michaelis-Menten kinetics, and non-compartmental analysis (NCA). Pharmacodynamic and dose-response modeling is supported through Emax-based models, including stimulatory (sigmoid Emax) and inhibitory (sigmoid Imax) Hill models, four- and five-parameter logistic models, as well as median toxic dose (TD50) and lethal dose (LD50) models. The package is intended to support parameter estimation, simulation, and model comparison in pharmaceutical research, drug development, and pharmacometrics education. For more details, see Gabrielsson & Weiner (2000) <ISBN:9186274929>, Holford & Sheiner (1981) <doi:10.2165/00003088-198106060-00002>, and Manlapaz (2025) <doi:10.32614/CRAN.package.adsoRptionCMF>.
How to cite:
Paul Angelo C. Manlapaz (2026). pkpd.Release: Model Fitting and Simulation for Drug Release Kinetics and PK/PD. R package version 0.1.0, https://cran.r-project.org/web/packages/pkpd.Release. Accessed 29 Jul. 2026.
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