The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Approximations of global p-values when testing hypothesis in presence of non-identifiable nuisance parameters. The method relies on the Euler characteristic heuristic and the expected Euler characteristic is efficiently computed by in Algeri and van Dyk (2018) <doi:10.48550/arXiv.1803.03858>.
| Version: | 1.4 |
| Imports: | igraph, Matrix, nloptr, Rmpfr, EQL, methods, stats |
| Published: | 2021-03-09 |
| DOI: | 10.32614/CRAN.package.TOHM |
| Author: | Sara Algeri |
| Maintainer: | Sara Algeri <salgeri at umn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | TOHM results |
| Reference manual: | TOHM.pdf |
| Package source: | TOHM_1.4.tar.gz |
| Windows binaries: | r-devel: TOHM_1.4.zip, r-release: TOHM_1.4.zip, r-oldrel: TOHM_1.4.zip |
| macOS binaries: | r-release (arm64): TOHM_1.4.tgz, r-oldrel (arm64): TOHM_1.4.tgz, r-release (x86_64): TOHM_1.4.tgz, r-oldrel (x86_64): TOHM_1.4.tgz |
| Old sources: | TOHM archive |
Please use the canonical form https://CRAN.R-project.org/package=TOHM to link to this page.
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.
Health stats visible at Monitor.