Package: OptHoldoutSize
Title: Estimation of Optimal Size for a Holdout Set for Updating a
        Predictive Score
Version: 0.1.0.1
Authors@R: 
  c(person(given = "Sami",
           family = "Haidar-Wehbe",
           role = c("aut"),
           email = "sami.haidar96@gmail.com"),
    person(given = "Sam",
           family = "Emerson",
           role = c("aut"),
           email = "samuel.r.emerson@durham.ac.uk",
           comment = c(ORCID = "0000-0002-8379-2781")),
    person(given = "Louis",
           family = "Aslett",
           role = c("aut"),
           email = "louis.aslett@durham.ac.uk",
           comment = c(ORCID = "0000-0003-2211-233X")),
    person(given = "James",
           family = "Liley",
           role = c("cre","aut"),
           email = "james.liley@durham.ac.uk",
           comment = c(ORCID = "0000-0002-0049-8238")))
Maintainer: James Liley <james.liley@durham.ac.uk>
Description: Predictive scores must be updated with care, because actions taken on the basis of existing risk scores causes bias in risk estimates from the updated score. A holdout set is a straightforward way to manage this problem: a proportion of the population is 'held-out' from computation of the previous risk score. This package provides tools to estimate a size for this holdout set and associated errors. Comprehensive vignettes are included. Please see: Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022) <doi:10.48550/arXiv.2202.06374> (to appear in Annals of Applied Statistics) for details of methods. 
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), matrixStats, mnormt, mvtnorm, ranger, mle.tools
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-04-09 07:51:23 UTC; vwbw55
Author: Sami Haidar-Wehbe [aut],
  Sam Emerson [aut] (<https://orcid.org/0000-0002-8379-2781>),
  Louis Aslett [aut] (<https://orcid.org/0000-0003-2211-233X>),
  James Liley [cre, aut] (<https://orcid.org/0000-0002-0049-8238>)
Repository: CRAN
Date/Publication: 2025-04-09 11:30:06 UTC
Built: R 4.6.0; ; 2025-12-17 03:35:46 UTC; windows
