Cardiac mechanistic physiologically based pharmacokinetic simulation application
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/** * * CardiacPBPK v0.9 - Cardiac mechanistic physiologically based pharmacokinetic simulation application Copyright (C) 2018 Authors: Zofia Tylutki, Jakub Szlęk Affiliation: Jagiellonian University Medical College, Faculty of Pharmacy, Medyczna 9 st., 30-688 Kraków Poland Bugs, issues, please e-mail to maintainer Jakub Szlęk: firstname.lastname@example.org Copyright (C) 2018 This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. ======================== REQUIREMENTS ======================== 1) R environment version >= 3.3.0 (for download check https://cran.r-project.org/) 2) Additional R packages: shiny, shinyjs, DT, shinyBS, dplyr, plyr, ggplot2, ggthemes, distr, data.table, deSolve ======================== INSTALLATION AND RUNNING ======================== 1) Download the tar.gz archive from the https://sourceforge.net/projects/cardiacpbpk/files/ or clone github repository (if you have git packages installed in konsole/terminal type ‘git clone https://github.com/jszlek/CardiacPBPK.git’). It is also possible to download master branch from github (https://github.com/jszlek/CardiacPBPK/archive/master.zip) 2) Unpack downloaded package (on linux-like systems use "tar xzvf (...).tar.gz -C /path/to/my/.../folder") 3) Run the konsole/terminal or cmd.exe 4) Navigate to the folder (on linux-like systems use "cd /path/to/my/.../folder") 5) On Windows run the run_R.bat file or on linux-like systems run run_R.sh (make sure the *.bat or *.sh files are executable) Alternativley: 5) Run R console (on linux type "R", on Windows 6) Check if you are in the folder by typing "getwd()" in R console 7) Load shiny library by typing "library(shiny)" 8) Run the shiny application by typing "runApp()" 9) This command should run the app in a browser * * **/