nRegression: Simulation-Based Calculations of Sample Size for Linear andLogistic 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:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=nRegressionto link to this page.