Evaluate Clinical Prediction Models by Net Monetary Benefit [R package predictNMB version 0.2.1]

predictNMB: Evaluate Clinical Prediction Models by Net Monetary Benefit

Estimates when and where a model-guided treatment strategy may outperform a treat-all or treat-none approach by Monte Carlo simulation and evaluation of the Net Monetary Benefit. Details can be viewed in Parsons et al. (2023) <doi:10.21105/joss.05328>.

Version: 0.2.1

Depends: R (≥ 3.5.0)

Imports: assertthat, cutpointr, dplyr, ggplot2, magrittr, pmsampsize, rlang, scales, stats, tibble, tidyr

Suggests: spelling, covr, flextable, knitr, parallel, pbapply, rmarkdown, testthat (≥ 3.0.0), vdiffr, withr

Published: 2023年06月03日

DOI: 10.32614/CRAN.package.predictNMB

Author: Rex Parsons ORCID iD [aut, cre], Robin Blythe ORCID iD [aut], Adrian Barnett ORCID iD [aut], Emi Tanaka [rev] (Emi Tanaka reviewed predictNMB for rOpenSci, see <https://github.com/ropensci/software-review/issues/566>.), Tinula Kariyawasam [rev] (Tinula Kariyawasam reviewed predictNMB for rOpenSci, see <https://github.com/ropensci/software-review/issues/566>.), Susanna Cramb ORCID iD [ctb], Steven McPhail ORCID iD [ctb]

Maintainer: Rex Parsons <rex.parsons94 at gmail.com>

BugReports: https://github.com/ropensci/predictNMB/issues

License: GPL (≥ 3)

URL: https://docs.ropensci.org/predictNMB/

NeedsCompilation: no

Language: en-US

Citation: predictNMB citation info

Materials: README, NEWS

CRAN checks: predictNMB results