Conduct noncompartmental analysis as close as possible to the most widely used commercial pharmacokinetic analysis software, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>.
For more details on noncompartmental analysis, see the reference: Rowland M, Tozer TN. Clinical Pharmacokinetics and Pharmacodynamics - Concepts and Applications. 4e. 2011.

Noncompartmental Analysis for Pharmacokinetic Data
Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>.
Some features include:
- Use CDISC SDTM PP domain terms.
- Automatic slope selection with the same criterion of WinNonlin(R)
- Support both 'linear-up linear-down' and 'linear-up log-down' method
- Calculate partial(interval) AUC with 'linear' or 'log' interpolation method
For more details on noncompartmental analysis, see the reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107)
Acknowldegement: Author thanks for the careful review and valuable input of Dr. Jee Eun Lee.

Conduct a noncompartmental analysis as closely as possible to the most widely used commercial software for pharmacokinetic analysis, i.e. 'Phoenix(R) WinNonlin(R)' <https://www.certara.com/software/pkpd-modeling-and-simulation/phoenix-winnonlin/>.
Some features include:
1) Use CDISC SDTM PP domain terms.
2) Automatic slope selection with the same criterion of WinNonlin(R)
3) Support both 'linear-up linear-down' and 'linear-up log-down' method
4) Calculate partial(interval) AUC with 'linear' or 'log' interpolation method
For more details on noncompartmental analysis, see the reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107)
*) Acknowledgement: Author thanks for the careful review and valuable input of Dr. Jee Eun Lee.