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 | 
| 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.html , predictNMB.pdf | 
| Vignettes: | creating-nmb-functions (source, R code) detailed-example (source, R code) predictNMB (source, R code) summarising-results-with-predictNMB (source, R code) | 
| 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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