Introduction to PKNCA: Automation of Noncompartmental Analysis in R
Автор: Human Predictions
Загружено: 2016-05-25
Просмотров: 9814
A brief tutorial of the PKNCA package will orient you to loading data into PKNCA, setting calculation options, calculating the NCA parameters, and summarizing the NCA.
CRAN: https://cran.r-project.org/web/packag...
GitHub: https://github.com/billdenney/pknca
The PKNCA R package is designed to perform all noncompartmental analysis (NCA) calculations for pharmacokinetic (PK) data. The package is broadly separated into two parts (calculation and summary) with some additional housekeeping functions.
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 much as possible to simplify the task of the analyst. When automation would leave ambiguity or make a choice that the analyst may have an alternate preference for, it is either not used or is possible to override.
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