Various reliability analysis methods for rare event inference: 1) computing failure probability (probability that the output of a numerical model exceeds a threshold), 2) computing quantiles of low or high-order, 3) Wilks formula to compute quantile(s) from a sample or the size of the required i.i.d. sample.
| Version: | 2.1.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | e1071, Matrix, mvtnorm, ggplot2, doParallel, foreach, iterators, DiceKriging, emoa, quadprog |
| Suggests: | microbenchmark, kernlab |
| Published: | 2016-04-03 |
| Author: | Clement WALTER, Gilles DEFAUX, Bertrand IOOSS and Vincent MOUTOUSSAMY, with contributions from Nicolas BOUSQUET, Claire CANNAMELA and Paul LEMAITRE |
| Maintainer: | Bertrand Iooss <biooss at yahoo.fr> |
| License: | CeCILL |
| NeedsCompilation: | no |
| CRAN checks: | mistral results |
| Reference manual: | mistral.pdf |
| Package source: | mistral_2.1.0.tar.gz |
| Windows binaries: | r-devel: mistral_2.1.0.zip, r-release: mistral_2.1.0.zip, r-oldrel: mistral_2.1.0.zip |
| macOS binaries: | r-release: mistral_2.1.0.tgz, r-oldrel: mistral_2.1.0.tgz |
| Old sources: | mistral archive |
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