How to install the latest developer version

Installation from Binary Package (Windows)

  1. Download the most recent binary version of RPACT in the members area. The file should have a name like this: "rpact_0.0.x.90xx.zip" suitable for your specific R version, i.e. you must download the binary version which is suitable for the minor R version 3, 4 or 5.
    Important: the ZIP file must have the name "rpact_0.0.x.90xx.zip" (please remove the "_0", "_1" or "_2" from the name if available); otherwise the installation will fail.
  2. RGui: We recommend to install the package with the RGui and not RStudio because sometimes RStudio has caused some problems with the installation. E.g., it was not possible to use RPACT on a system having R 3.5.0 together with RStudio 1.1.447 installed; after an update to RStudio 1.1.453 the installation and usage of RPACT was possible
    1. Open R (>= 3.3.0).
    2. Run the following command under R: install.packages("rpact_0.0.x.90xx.zip", repos=NULL, type = "win.binary")
      Dont't forget to replace "rpact_0.0.x.90xx.zip" by the correct file name
  3. RStudio: alternatively to step 2 you can use RStudio to install RPACT by clicking on „Install packags from local files“ in the RStudio menu.
  4. Load the library: library(rpact)
  5. You are ready to work with RPACT! A good entry point for starting may be the help page: help(package = "rpact")
  6. Install the package ggplot2 to enable the powerful graphical features of RPACT.

Installation from Source Package (Linux)

  1. Download the most recent version of RPACT in the members area. The file should have a name like this: "rpact_0.0.x.90xx.tar.gz"
  2. Open R (>= 3.3.0)
  3. Run the following command under R: install.packages("rpact_0.0.x.90xx.tar.gz", repos=NULL, type="source")
    Dont't forget to replace "rpact_0.0.x.90xx.tar.gz" by the correct file name
  4. Load the library: library(rpact)
  5. You are ready to work with RPACT! A good entry point for starting may be the help page: help(package = "rpact")
  6. Install the package ggplot2 to enable the powerful graphical features of RPACT.