Evaluate Clinical Prediction Models by Net Monetary Benefit R package predictNMB version 0.2.1 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>. Software 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 Rex Parsons <rex.parsons94@gmail.com> Comprehensive R Archive Network (CRAN) Rex Parsons [aut, cre] (ORCID: <https://orcid.org/0000-0002-6053-8174>), Robin Blythe [aut] (ORCID: <https://orcid.org/0000-0002-3643-4332>), Adrian Barnett [aut] (ORCID: <https://orcid.org/0000-0001-6339-0374>), 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 [ctb] (ORCID: <https://orcid.org/0000-0001-9041-9531>), Steven McPhail [ctb] (ORCID: <https://orcid.org/0000-0002-1463-662X>) GPL (>= 3) 2023-06-03 application/tgz https://CRAN.R-project.org/package=predictNMB doi:10.32614/CRAN.package.predictNMB en-US