mistral: Methods in Structural Reliability

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 quantile 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: 2.2.1
Depends: R (≥ 3.0.0)
Imports: e1071, Matrix, mvtnorm, ggplot2, doParallel, foreach, iterators, DiceKriging, emoa, quadprog, Rcpp
LinkingTo: Rcpp
Suggests: microbenchmark, deSolve, scatterplot3d, KrigInv, rgenoud, kernlab, knitr, rmarkdown, markdown
Published: 2021-04-18
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: CeCILL
NeedsCompilation: yes
CRAN checks: mistral results


Reference manual: mistral.pdf
Vignettes: Using mistral for reliability analysis


Package source: mistral_2.2.1.tar.gz
Windows binaries: r-devel: mistral_2.2.1.zip, r-release: mistral_2.2.1.zip, r-oldrel: mistral_2.2.1.zip
macOS binaries: r-release (arm64): mistral_2.2.1.tgz, r-oldrel (arm64): mistral_2.2.1.tgz, r-release (x86_64): mistral_2.2.1.tgz, r-oldrel (x86_64): mistral_2.2.1.tgz
Old sources: mistral archive


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