The Pharmacokinetics (PK) of Multi-Component Drugs Using a Metabolomics Approach

Poly-PK strategy is a new strategy of pharmacokinetic analysis of multi-component drugs (Guoxiang Xie, Tianlu Chen, Wei Jia, et al. (2012); Ke Lan, Guoxiang Xie and Wei Jia. (2013)). This package is the first implementation of the Poly-PK strategy with 10 easy-to-use functions.


polyPK v3.1.0 (2018-7-11)


  • A version of polyPK which does not depend on samr package.

polyPK v3.0.0 (2017-12-18)


  • A version of polyPK which does not depend on PKNCA package.

polyPK v2.0.0 (2017-10-23)


  • The default correlation analysis method in CorrPlot() was changed. The argument of "cor.method" was changed from "pearson" to "spearman".
  • The order of results (differential compounds) in GetDiffData() was changed. The compounds were listed in weight rank order which was calculated by the SAM (Significance analysis of microarrays) method (see reference 6 in GetDiffData()).
  • The optional methods of missing values imputation in DataPre() and GetDiffData() were simplified.
  • The R2Ys, Q2Ys and error rate of PLS-DA were displayed in the figure or added in corresponding result file. The R2, Q2 of every PC from PCA were displayed in the scatter plot.
  • The R2-Q2 scatter plot of permutation (n=100) on PLS-DA was added in the corresponding result file.

Reference manual

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3.1.0 by Tianlu Chen, 2 years ago

Browse source code at

Authors: Mengci Li , Shouli Wang , Guoxiang Xie , Tianlu Chen and Wei Jia

Documentation:   PDF Manual  

GPL-2 license

Imports imputeLCMD, plyr, sqldf, gplots, corrplot, circlize, mixOmics, pkr, Hmisc, ropls

Depends on impute, pcaMethods, xlsx

Suggests knitr, rmarkdown

See at CRAN