Package: sampsizeval
Title: Sample Size for Validation of Risk Models with Binary Outcomes
Version: 1.0.0.0
Authors@R: 
    person(given = "Menelaos",
           family = "Pavlou",
           role = c("aut", "cre"),
           email = "m.pavlou@ucl.ac.uk",
           comment = c(ORCID = "0000-0003-1161-1440"))
Description: Estimation of the required sample size to validate a risk model for binary outcomes, based on the sample size equations proposed by Pavlou et al. (2021) <doi:10.1177/09622802211007522>. For precision-based sample size calculations, the user is required to enter the anticipated values of the C-statistic and outcome prevalence, which can be obtained from a previous study. The user also needs to specify the required precision (standard error) for the C-statistic, the calibration slope and the calibration in the large. The calculations are valid under the assumption of marginal normality for the distribution of the linear predictor. 
License: MIT + file LICENSE
LazyData: false
RoxygenNote: 7.1.1
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: stats, sn, pracma, dplyr, plyr
URL: https://github.com/mpavlou/sampsizeval
BugReports: https://github.com/mpavlou/sampsizeval/issues
NeedsCompilation: no
Packaged: 2021-05-27 08:10:59 UTC; Menelaos
Author: Menelaos Pavlou [aut, cre] (<https://orcid.org/0000-0003-1161-1440>)
Maintainer: Menelaos Pavlou <m.pavlou@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2021-05-28 07:30:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:43:41 UTC; windows
