c(
person("Lukas", "Sablica", email = "lsablica@wu.ac.at", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-9166-4563")),
person("Kurt", "Hornik", email = "Kurt.Hornik@wu.ac.at", role = "aut",
comment = c(ORCID = "0000-0003-4198-9911"))
)

Vincent Moutoussamy, Nicolas Bousquet and Bertrand Iooss
Various reliability analysis methods for: 1) computing
failure probability (probability that the output of a numerical
model exceeds a threshold); 2) computing the size of a sample
to estimate a quantile with a confidence level.

Gilles Defaux, Bertrand Iooss, Vincent Moutoussamy, Clement Walter with contributions from Nicolas Bousquet and Paul Lemaitre
DiceKriging, e1071, kernlab, Matrix, mvtnorm, rgenoud

Nicolas BOUSQUET, Gilles DEFAUX, Bertrand IOOSS, Vincent MOUTOUSSAMY, Clement WALTER

Nicolas BOUSQUET, Gilles DEFAUX, Bertrand IOOSS, Vincent MOUTOUSSAMY,
Clement WALTER
e1071, Matrix, mvtnorm, ggplot2, doParallel, foreach,
iterators, DiceKriging, emoa, quadprog

Methods in Structural Reliability Analysis
Clement WALTER, Gilles DEFAUX, Bertrand IOOSS and Vincent MOUTOUSSAMY, with contributions from Nicolas BOUSQUET, Claire CANNAMELA and Paul LEMAITRE
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.

Clement WALTER, Gilles DEFAUX, Bertrand IOOSS, Vincent MOUTOUSSAMY with contributions from Nicolas BOUSQUET, Claire CANNAMELA and Paul LEMAITRE
e1071, Matrix, mvtnorm, ggplot2, doParallel, foreach,
iterators, DiceKriging, emoa, quadprog, Rcpp
microbenchmark, deSolve, scatterplot3d, KrigInv, rgenoud,
kernlab, knitr, rmarkdown, markdown
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.