nRegression: Simulation-Based Calculations of Sample Size for Linear and Logistic Regression

Provides a function designed to estimate the minimal sample size required to attain a specific statistical power in the context of linear regression and logistic regression models through simulations.

Version:	0.5.1
Depends:	R (≥ 4.0.0)
Imports:	data.table, covr, simitation, stats
Suggests:	knitr, rmarkdown, dplyr, testthat (≥ 3.0.0), devtools
Published:	2023-10-17
DOI:	10.32614/CRAN.package.nRegression
Author:	David Shilane [aut], Srivastav Budugutta [ctb, cre], Mayur Bansal [ctb]
Maintainer:	Srivastav Budugutta <sb4788 at columbia.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	nRegression results

Documentation:

Reference manual:	nRegression.html , nRegression.pdf
Vignettes:	Introduction to nRegression (source, R code)

Downloads:

Package source:	nRegression_0.5.1.tar.gz
Windows binaries:	r-devel: nRegression_0.5.1.zip, r-release: nRegression_0.5.1.zip, r-oldrel: nRegression_0.5.1.zip
macOS binaries:	r-release (arm64): nRegression_0.5.1.tgz, r-oldrel (arm64): nRegression_0.5.1.tgz, r-release (x86_64): nRegression_0.5.1.tgz, r-oldrel (x86_64): nRegression_0.5.1.tgz
Old sources:	nRegression archive

Linking:

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