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pkr Shiny

Installation of pkr R Package

install.packages("pkr")
library(pkr)
NCA(Theoph, "Subject", "Time", "conc", dose=320, uConc="mg/L")

Help

Dataset

CDISC materials

References

Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications. 5th ed. 2016.

Shargel L, Yu A. Applied Biopharmaceutics and Pharmacokinetics. 7th ed. 2015.

Rowland M, Tozer TN. Clinical Pharmacokinetics and Pharmacodynamics - Concepts and Applications. 4th ed. 2011.

Gibaldi M, Perrier D. Pharmacokinetics. 2nd ed. revised and expanded. 1982.

Bibliography of R packages

Chang W, Cheng J, Allaire J, Xie Y and McPherson J (2017). shiny: Web Application Framework for R. R package version 1.0.0, https://CRAN.R-project.org/package=shiny.

Bae K and Lee JE (2017). pkr: Pharmacokinetics in R. R package version 0.1.0, https://CRAN.R-project.org/package=pkr.

Allaire J, Horner J, Marti V and Porte N (2015). markdown: 'Markdown' Rendering for R. R package version 0.7.7, https://CRAN.R-project.org/package=markdown.

Grosjean P and Ibanez F (2014). pastecs: Package for Analysis of Space-Time Ecological Series. R package version 1.3-18, https://CRAN.R-project.org/package=pastecs.

Wickham H (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. ISBN 978-0-387-98140-6, http://ggplot2.org.

Wickham H and Francois R (2016). dplyr: A Grammar of Data Manipulation. R package version 0.5.0, https://CRAN.R-project.org/package=dplyr.

Wickham H (2017). tidyr: Easily Tidy Data with 'spread()' and 'gather()' Functions. R package version 0.6.1, https://CRAN.R-project.org/package=tidyr.

Gohel D (????). ggiraph: Make 'ggplot2' Graphics Interactive. R package version 0.3.2, https://davidgohel.github.io/ggiraph.

Chang W (2016). shinydashboard: Create Dashboards with 'Shiny'. R package version 0.5.3, https://CRAN.R-project.org/package=shinydashboard.

Xie Y (2016). knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.15.1, http://yihui.name/knitr/.

Xie Y (2015). Dynamic Documents with R and knitr, 2nd edition. Chapman and Hall/CRC, Boca Raton, Florida. ISBN 978-1498716963, http://yihui.name/knitr/.

Xie Y (2014). “knitr: A Comprehensive Tool for Reproducible Research in R.” In Stodden V, Leisch F and Peng RD (eds.), Implementing Reproducible Computational Research. Chapman and Hall/CRC. ISBN 978-1466561595, http://www.crcpress.com/product/isbn/9781466561595.