Package: MaxMC 0.1.2
Gabriel Rodriguez-Rondon
MaxMC: Maximized Monte Carlo
An implementation of the Monte Carlo techniques described in details by Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.
Authors:
MaxMC_0.1.2.tar.gz
MaxMC_0.1.2.zip(r-4.7)MaxMC_0.1.2.zip(r-4.6)MaxMC_0.1.2.zip(r-4.5)
MaxMC_0.1.2.tgz(r-4.6-any)MaxMC_0.1.2.tgz(r-4.5-any)
MaxMC_0.1.2.tar.gz(r-4.7-any)MaxMC_0.1.2.tar.gz(r-4.6-any)
MaxMC_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MaxMC/json (API)
NEWS
| # Install 'MaxMC' in R: |
| install.packages('MaxMC', repos = c('https://julienneves.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/julienneves/maxmc/issues
Last updated from:05171d8731. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 120 | ||
| source / vignettes | OK | 172 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 149 | ||
| macos-oldrel-arm64 | OK | 135 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 120 |
Dependencies:clicodetoolscrayonfarverforeachGAGenSAglueiteratorslabelinglifecycleNMOFpsoR6RColorBrewerRcppRcppArmadillorlangscalesviridisLite
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Maximized Monte Carlo | MaxMC-package |
| Monte Carlo with Tie-Breaker | mc |
| Find the Maximized Monte Carlo (MMC) p-value on a set of nuisance parameters. | mmc |
| Plot a 'mmc' Object | plot.mmc |
| Print a Summary of a 'mc' Object | print.mc |
| Print a Summary of a 'mmc' Object | print.mmc |
| p-value Function | pvalue |