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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 |
| 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 |
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