What Is PK R Package

Q

What Is the PK R Package?

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A

The PK R Package is designed to perform all Non-Compartmental Analysis (NCA) calculations for Pharmacokinetic (PK) data.

Functions provided in PK package:

lee - Two-phase half-life estimation by linear fitting
ci - Function to extract confidence interval(s)
nca - Estimation of various PK parameters
eqv - Bioequivalence between AUCs
plot.halflife - Plot regression lines used for half-life estimation
test - Function for hypothesis testing for objects of class PK
Rep.tox - Plasma levels in rats following daily intravenous administration in a repeated dose toxicity study
estimator - Function to extract point estimate(s)
all.class - Different generic functions for class PK.
auc - Estimation of confidence intervals for the area under the concentration versus time curve in complete and incomplete data designs
PKNews - Shows changes and news
Glucose - Baseline adjusted glucose levels following alcohol ingestion
biexp - Two-phase half-life estimation by biexponential model
auc.complete - Confidence intervals for the area under the concentration versus time curve in complete data designs
Rats - Plasma levels in female rats following a single oral dose
CPI975 - Plasma levels of CPI975 in rats following a single oral dose

For more information, visit The PK R Package Website and Package "PK" documentation.

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â‡’ "Rats" Data Frame in PK R Package

â‡ What Is PKNCA R Package

â‡‘ PK (Pharmacokinetic) Modeling Tools

â‡‘â‡‘ PK/PD Tutorials

2021-05-04, 717👍, 0💬

💬 2022-02-02 RP: Need to understand

What Is PK R Package
What Is the PK R Package? The PK R Package is designed to perform all Non-Compartmental Analysis (NCA) calculations for Pharmacokinetic (PK) data. Functions provided in PK package: lee - Two-phase half-life estimation by linear fitting ci - Function to extract confidence interval(s) nca - Estimation... 2021-05-04, 718👍, 0💬

What Is PKNCA R Package
What Is the PKNCA R Package? The PKNCA R Package is designed to perform all Non-Compartmental Analysis (NCA) calculations for Pharmacokinetic (PK) data. The primary and secondary goals of the PKNCA package are to 1) only give correct answers to the specific questions being asked and 2) automate as m... 2021-06-20, 630👍, 0💬

Simple Pharmacokinetics Script in Python
What Is the Simple Pharmacokinetics Script in Python? Simple Pharmacokinetics Script in Python is developed by Alex Dickson and available at https://github.com/alexrd/pk . Features supported are: can implement an arbitrary sequence of doses; can specify absorption, elimination, distribution and bind... 2021-06-20, 442👍, 0💬

auc() Function in PK R Package
How to use the auc() function in PK R Package? auc() function in the PK R package provides you estimation of confidence intervals for the area under the concentration versus time curve in complete and incomplete data designs. Example from "Nedelman J. R., Gibiansky E. and Lau D. T. W. (1995). Applyi... 2021-05-04, 410👍, 0💬

"Rats" Data Frame in PK R Package
What Is the "Rats" Data Frame in PK R Package? "Rats" is an example data frame for drug concentrations measured after a single oral dose in female rats. 1. Install and load PK : > install.packages("PK") > library(PK) ********** PK Version 1.3-5********** 2. List data in "Rats" : &g... 2021-05-04, 409👍, 0💬

PK (Pharmacokinetic) Modeling Tools
Where to find FAQ (Frequently Asked Questions) on PK (Pharmacokinetic) Modeling Tools? Here is a list of tutorials to answer many frequently asked questions compiled by FYIcenter.com team on PK (Pharmacokinetic) Modeling Tools. What Is PKNCA R Package What Is PK R Package "Rats" Data Frame in PK R P... 2022-10-01, 402👍, 0💬

Trapezoidal PK AUC Model
How to calculate PK AUC with linear trapezoidal model? The linear trapezoidal model to calculate PK AUC can be described as below: Assume that: t0, t1, t2, ..., t11 are times after dose C0, C1, C2, ..., C11 are drug concentrations at t0, t1, t2, ..., t11 AUC can be calculated as: AUC1 = 0.5*(t1-t0)*... 2022-11-04, 390👍, 0💬

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Molecule Summary: ID: FYI-1000379 SMILES: Oc1cc(O)c2c(c1)OC(c1ccc(O)c(O) c1)C(OC1(c3ccc(O)c(O)c3)Oc3cc( O)cc(O)c3C(O)C1O)C2Received at FYIcenter.com on: 2021-04-20 2021-05-04, 335👍, 0💬

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