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) <arXiv:1803.03858>.
| Version: | 1.3 |
| Imports: | igraph, Matrix, nloptr, Rmpfr, EQL, methods, stats |
| Published: | 2019-08-28 |
| 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_1.3.tar.gz |
| Windows binaries: | r-devel: TOHM_1.3.zip, r-release: TOHM_1.3.zip, r-oldrel: TOHM_1.3.zip |
| macOS binaries: | r-release: TOHM_1.3.tgz, r-oldrel: TOHM_1.3.tgz |
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