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: 2023-06-03 DOI: 10.32614/CRAN.package.predictNMB Author: Rex Parsons [aut, cre], Robin Blythe [aut], Adrian Barnett [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 [ctb], Steven McPhail [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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=predictNMB to link to this page.
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