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:

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