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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: 2023-06-03
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

Documentation:

Reference manual: predictNMB.pdf
Vignettes: creating-nmb-functions
detailed-example
predictNMB
summarising-results-with-predictNMB

Downloads:

Package source: predictNMB_0.2.1.tar.gz
Windows binaries: r-devel: predictNMB_0.2.1.zip, r-release: predictNMB_0.2.1.zip, r-oldrel: predictNMB_0.2.1.zip
macOS binaries: r-release (arm64): predictNMB_0.2.1.tgz, r-oldrel (arm64): predictNMB_0.2.1.tgz, r-release (x86_64): predictNMB_0.2.1.tgz, r-oldrel (x86_64): predictNMB_0.2.1.tgz
Old sources: predictNMB archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.