Other packages > Find by keyword >

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", "1.1.9")



Attach the package and use:
library("simTool")
Maintained by
Marsel Scheer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-07-08
Latest Update: 2025-04-09
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 1.1.9, https://cran.r-project.org/web/packages/simTool. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 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), 1.1.7 (2020-09-22 18:00), 1.1.8 (2025-04-09 08:20)
Other packages that cited simTool R package
View simTool citation profile
Other R packages that simTool depends, imports, suggests or enhances
Complete documentation for simTool
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA