Package: nRegression
Title: Simulation-Based Calculations of Sample Size for Linear and
        Logistic Regression
Version: 0.5.1
Authors@R: c(
    person("David", "Shilane", , "david.shilane@columbia.edu", c("aut")),
    person("Srivastav","Budugutta", , "sb4788@columbia.edu", c("ctb","cre")),
    person("Mayur", "Bansal", , "mb4511@columbia.edu", c("ctb"))
    )
Depends: R (>= 4.0.0)
Description: 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.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, dplyr, testthat (>= 3.0.0), devtools
Imports: data.table, covr, simitation, stats
VignetteBuilder: knitr
NeedsCompilation: no
Author: David Shilane [aut],
  Srivastav Budugutta [ctb, cre],
  Mayur Bansal [ctb]
Maintainer: Srivastav Budugutta <sb4788@columbia.edu>
Repository: CRAN
Config/testthat/edition: 3
Packaged: 2023-10-17 12:53:24 UTC; sriva
Date/Publication: 2023-10-17 22:30:07 UTC
Built: R 4.2.0; ; 2023-10-18 00:53:43 UTC; unix
