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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.pdf
Vignettes: Introduction_to_simitation
Introduction_to_simitation_2

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 form https://CRAN.R-project.org/package=simitation to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.