simTool: Conduct Simulation Studies with a Minimal Amount of Source Code

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.

Version:	1.1.7
Depends:	R (≥ 2.14.0)
Imports:	dplyr (≥ 0.7.2), purrr (≥ 0.2.3), tidyr (≥ 1.0.0), tibble (≥ 2.0.0), vctrs (≥ 0.3.0), parallel, methods
Suggests:	ggplot2, knitr, boot, broom, rmarkdown, tinytest
Published:	2020-09-22
Author:	Marsel Scheer [aut, cre]
Maintainer:	Marsel Scheer <scheer at freescience.de>
BugReports:	https://github.com/MarselScheer/simTool/issues
License:	GPL-3
URL:	https://github.com/MarselScheer/simTool
NeedsCompilation:	no
CRAN checks:	simTool results

Documentation:

Reference manual:	simTool.pdf
Vignettes:	The simTool package: Facilitate simulations

Downloads:

Package source:	simTool_1.1.7.tar.gz
Windows binaries:	r-devel: simTool_1.1.7.zip, r-release: simTool_1.1.7.zip, r-oldrel: simTool_1.1.7.zip
macOS binaries:	r-release (arm64): simTool_1.1.7.tgz, r-oldrel (arm64): simTool_1.1.7.tgz, r-release (x86_64): simTool_1.1.7.tgz, r-oldrel (x86_64): simTool_1.1.7.tgz
Old sources:	simTool archive

Reverse dependencies:

Reverse suggests:

latrend

Linking:

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