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sampsizeval: Sample Size for Validation of Risk Models with Binary Outcomes

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.

Version:1.0.0.0
Imports:stats,sn,pracma,dplyr,plyr
Suggests:testthat (≥ 3.0.0)
Published:2021-05-28
DOI:10.32614/CRAN.package.sampsizeval
Author:Menelaos PavlouORCID iD [aut, cre]
Maintainer:Menelaos Pavlou <m.pavlou at ucl.ac.uk>
BugReports:https://github.com/mpavlou/sampsizeval/issues
License:MIT + fileLICENSE
URL:https://github.com/mpavlou/sampsizeval
NeedsCompilation:no
Materials:README
CRAN checks:sampsizeval results

Documentation:

Reference manual:sampsizeval.html ,sampsizeval.pdf

Downloads:

Package source: sampsizeval_1.0.0.0.tar.gz
Windows binaries: r-devel:sampsizeval_1.0.0.0.zip, r-release:sampsizeval_1.0.0.0.zip, r-oldrel:sampsizeval_1.0.0.0.zip
macOS binaries: r-release (arm64):sampsizeval_1.0.0.0.tgz, r-oldrel (arm64):sampsizeval_1.0.0.0.tgz, r-release (x86_64):sampsizeval_1.0.0.0.tgz, r-oldrel (x86_64):sampsizeval_1.0.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=sampsizevalto link to this page.


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