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