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simTool  

Conduct Simulation Studies with a Minimal Amount of Source Code
View on CRAN: Click here


Download and install simTool package within the R console
Install from CRAN:
install.packages("simTool")

Install from Github:
library("remotes")
install_github("cran/simTool")

Install by package version:
library("remotes")
install_version("simTool", "1.1.7")



Attach the package and use:
library("simTool")
Maintained by
Marsel Scheer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-15
Latest Update: 2020-09-22
Description:
Tool for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with it. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.
How to cite:
Marsel Scheer (2014). simTool: Conduct Simulation Studies with a Minimal Amount of Source Code. R package version 1.1.7, https://cran.r-project.org/web/packages/simTool
Previous versions and publish date:
1.0.2 (2014-10-15 02:27), 1.0.3 (2014-10-25 20:48), 1.0 (2014-07-08 07:49), 1.1.0 (2018-03-26 16:58), 1.1.1 (2019-01-14 00:40), 1.1.2 (2019-02-02 22:10), 1.1.3 (2019-03-22 15:00), 1.1.4 (2019-09-14 20:50), 1.1.5 (2020-03-15 21:10), 1.1.6 (2020-05-17 16:20)
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