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simsalapar  

Tools for Simulation Studies in Parallel
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("simsalapar", "1.0-12")



Attach the package and use:
library("simsalapar")
Maintained by
Marius Hofert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-09-17
Latest Update: 2023-04-27
Description:
Tools for setting up ("design"), conducting, and evaluating large-scale simulation studies with graphics and tables, including parallel computations.
How to cite:
Marius Hofert (2013). simsalapar: Tools for Simulation Studies in Parallel. R package version 1.0-12, https://cran.r-project.org/web/packages/simsalapar. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-0 (2013-09-17 17:47), 1.0-1 (2013-09-22 00:24), 1.0-2 (2014-03-06 13:38), 1.0-3 (2014-06-10 09:58), 1.0-4 (2014-09-17 07:40), 1.0-5 (2015-01-24 06:45), 1.0-6 (2015-12-15 01:19), 1.0-7 (2015-12-22 18:12), 1.0-8 (2016-01-02 23:13), 1.0-9 (2016-04-19 08:59), 1.0-10 (2018-05-18 00:00), 1.0-11 (2022-04-06 15:30)
Other packages that cited simsalapar R package
View simsalapar citation profile
Other R packages that simsalapar depends, imports, suggests or enhances
Complete documentation for simsalapar
Functions, R codes and Examples using the simsalapar R package
Some associated functions: LEseeds . array-stuff . device . doApply . doCallWE . doCheck . expr2latex . grid-stuff . mayplot . simsalapar-package . subjob . toLatex-ftable . tryCatchWE . varlist . wrapLaTable . 
Some associated R codes: array-stuff.R . device.R . doApply.R . doCallWE.R . expr2latex.R . graphics.R . grid-stuff.R . subjob.R . tables.R . tryCatchWE.R .  Full simsalapar package functions and examples
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