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-4.5)MaxMC_0.1.2.zip(r-4.4)MaxMC_0.1.2.zip(r-4.3)
MaxMC_0.1.2.tgz(r-4.5-any)MaxMC_0.1.2.tgz(r-4.4-any)MaxMC_0.1.2.tgz(r-4.3-any)
MaxMC_0.1.2.tar.gz(r-4.5-noble)MaxMC_0.1.2.tar.gz(r-4.4-noble)
MaxMC_0.1.2.tgz(r-4.4-emscripten)MaxMC_0.1.2.tgz(r-4.3-emscripten)
MaxMC.pdf |MaxMC.html✨
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 5 months agofrom:05171d8731. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 02 2025 |
| R-4.5-win | OK | Mar 02 2025 |
| R-4.5-mac | OK | Mar 02 2025 |
| R-4.5-linux | OK | Mar 02 2025 |
| R-4.4-win | OK | Mar 02 2025 |
| R-4.4-mac | OK | Mar 02 2025 |
| R-4.3-win | OK | Mar 02 2025 |
| R-4.3-mac | OK | Mar 02 2025 |
Dependencies:clicodetoolscolorspacecrayonfarverforeachGAGenSAglueiteratorslabelinglifecyclemunsellNMOFpsoR6RColorBrewerRcppRcppArmadillorlangscalesviridisLite
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 |