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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 |
| Reference manual: | nRegression.pdf |
| Vignettes: |
Introduction to nRegression |
| 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 |
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These binaries (installable software) and packages are in development.
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