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simitation: Simplified Simulations

Provides tools for generating and analyzing simulation studies. Users may easily specify all terms of a simulation study, often in a single line of code. Common univariate and bivariate methods, such as t tests, proportions tests, and chi squared tests, are integrated. Multivariate studies involving linear or logistic regression may also be specified with symbolic inputs. The simulation studies generate data for n observations in each of B experiments. Analyses of each experiment are integrated, and empirical results across the experiments are also provided.

Version:0.0.7
Depends:R (≥ 3.1.0)
Imports:data.table
Suggests:knitr,rmarkdown,covr,devtools,markdown,formatR,testthat (≥ 3.0.0)
Published:2023-09-22
DOI:10.32614/CRAN.package.simitation
Author:David Shilane [aut], Srivastav Budugutta [ctb, cre], Mayur Bansal [ctb]
Maintainer:Srivastav Budugutta <sb4788 at columbia.edu>
License:GPL-3
NeedsCompilation:no
Materials:README
CRAN checks:simitation results

Documentation:

Reference manual:simitation.html ,simitation.pdf
Vignettes:Introduction_to_simitation (source,R code)
Introduction_to_simitation_2 (source,R code)

Downloads:

Package source: simitation_0.0.7.tar.gz
Windows binaries: r-devel:simitation_0.0.7.zip, r-release:simitation_0.0.7.zip, r-oldrel:simitation_0.0.7.zip
macOS binaries: r-release (arm64):simitation_0.0.7.tgz, r-oldrel (arm64):simitation_0.0.7.tgz, r-release (x86_64):simitation_0.0.7.tgz, r-oldrel (x86_64):simitation_0.0.7.tgz

Reverse dependencies:

Reverse imports:nRegression

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=simitationto link to this page.


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