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
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.pdf
Vignettes: Introduction to nRegression

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
Old sources: nRegression archive

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