Pharmacokinetics is the study of drug absorption, distribution,
metabolism, and excretion. The pharmacokinetics model explains that how the
drug concentration change as the drug moves through the different compartments
of the body. For pharmacokinetic modeling and analysis, it is essential
to understand the basic pharmacokinetic parameters. All parameters are
considered, but only some of parameters are used in the model. Therefore,
we need to convert the estimated parameters to the other parameters after
fitting the specific pharmacokinetic model. This package is developed to help
this converting work. For more detailed explanation of pharmacokinetic
parameters, see "Gabrielsson and Weiner" (2007), "ISBN-10: 9197651001";
"Benet and Zia-Amirhosseini" (1995) <DOI: 10.1177/019262339502300203>;
"Mould and Upton" (2012) <DOI: 10.1038/psp.2012.4>;
"Mould and Upton" (2013) <DOI: 10.1038/psp.2013.14>.

PKfit- A Tool for Data Analysis in Pharmacokinetics
PKfit is a nonlinear regression (including a genetic algorithm) program
which is designed to deal with curve fitting for pharmacokinetics (PK) in R.

Chun-Ying Lee <leechunin1108@yahoo.com.tw>, Yung-Jin Lee

Chun-Ying Lee <leechunin1108@yahoo.com.tw>, Yung-Jin Lee <yjlee_kmu@yahoo.com.tw>
PKfit is a nonlinear regression (including a genetic algorithm) program
which is designed to deal with curve fitting for pharmacokinetics (PK)
data analysis in R.

A Data Analysis Tool for Pharmacokinetics
Chun-Ying Lee, Yung-Jin Lee <pkpd.taiwan@yahoo.com.tw>
PKfit is a nonlinear regression (including a genetic algorithm) program which was designed to perform model/curve fitting and model simulations for pharmacokinetics.

PKfit is a nonlinear regression (including a genetic
algorithm) program which was designed to perform model/curve
fitting and model simulations for pharmacokinetics.

PKfit is a nonlinear regression program
which is designed to perform model/curve fitting
and model simulations for pharmacokinetics.

A nonlinear regression program which is
designed to perform model/curve fitting and
model simulations for pharmacokinetics.