``` {r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )

require(linpk)

# linpk

[![R-CMD-check](https://github.com/benjaminrich/linpk/workflows/R-CMD-check/badge.svg)](https://github.com/benjaminrich/linpk/actions){.linpk-devel}
[![CRAN\_Release\_Badge](http://www.r-pkg.org/badges/version-ago/linpk)](https://CRAN.R-project.org/package=linpk)
[![CRAN\_Download\_Badge](http://cranlogs.r-pkg.org/badges/linpk)](https://CRAN.R-project.org/package=linpk)

An R package for generating concentration-time profiles from linear pharmacokinetic (PK) systems.

## Installation

To install from CRAN:

``` r
install.packages("linpk")

To install the latest development version directly from GitHub:

require(devtools)
devtools::install_github("benjaminrich/linpk")

Basic Usage

To simulate a PK profile from a one-compartment model with first-order absorption under repeated dosing:

t.obs <- seq(0, 6*24, 0.5)
y <- pkprofile(t.obs, cl=0.5, vc=11, ka=1.3, dose=list(amt=100, addl=9, ii=12))
plot(y)

For a more detailed introduction to the package, see the vignette.

Shiny App

There is a companion shiny app that provides a demo of the package capabilities, and also generates code that can be placed in an R script. It can be accessed at https://benjaminrich.shinyapps.io/linpk-demo-app/ or run locally by pasting the following lines in an R console:

# Make sure the required packages are installed (if not, install them)
sapply(c("shiny", "shinyjs", "shinyAce", "dygraphs", "linpk"), requireNamespace)
linpk::linpkApp()

The app will open in a browser, and looks like this:

Screenshot of the shiny app{width=100%}



benjaminrich/linpk documentation built on April 18, 2024, 2:13 a.m.