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Various reliability analysis methods for rare event inference (computing failure probability and quantile from model/function outputs).
Version: | 2.2.2 |
Depends: | R (≥ 3.0.0) |
Imports: | e1071, Matrix, mvtnorm, ggplot2, doParallel, foreach, iterators, DiceKriging, quadprog, Rcpp |
LinkingTo: | Rcpp |
Suggests: | microbenchmark, deSolve, scatterplot3d, KrigInv, rgenoud, kernlab, knitr, rmarkdown, markdown |
Published: | 2024-01-17 |
DOI: | 10.32614/CRAN.package.mistral |
Author: | Clement Walter, Gilles Defaux, Bertrand Iooss, Vincent Moutoussamy with contributions from Nicolas Bousquet, Claire Cannamela and Paul Lemaitre |
Maintainer: | Bertrand Iooss <biooss at yahoo.fr> |
License: | GPL-2 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | mistral results |
Reference manual: | mistral.pdf |
Vignettes: |
Using mistral for reliability analysis |
Package source: | mistral_2.2.2.tar.gz |
Windows binaries: | r-devel: mistral_2.2.2.zip, r-release: mistral_2.2.2.zip, r-oldrel: mistral_2.2.2.zip |
macOS binaries: | r-release (arm64): mistral_2.2.2.tgz, r-oldrel (arm64): mistral_2.2.2.tgz, r-release (x86_64): mistral_2.2.2.tgz, r-oldrel (x86_64): mistral_2.2.2.tgz |
Old sources: | mistral archive |
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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.