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mistral (version 2.1.0)

Methods in Structural Reliability Analysis

Description

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.

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Version

Install

install.packages('mistral')

Monthly Downloads

251

Version

2.1.0

License

CeCILL

Maintainer

Bertrand Iooss

Last Published

April 3rd, 2016

Functions in mistral (2.1.0)

Update LSVM classifier

SubsetSimulation

Subset Simulation Monte Carlo

Iso-probabilistic transformation from U space to X space

Metamodel based Impotance Sampling

A limit-state-function defined by Waarts

A limit-state-function defined with a two degrees of freedom damped oscillator

mistral-package

Methods In Structural Reliability Analysis

Increasing Randow Walk

Sample size by Wilks formula

Support-vector Margin Algoritm for Reliability esTimation

ModifCorrMatrix

Modification of a correlation matrix to use in UtoX

A limit-state-function defined by Der Kiureghian

Active learning reliability method combining Kriging and Monte Carlo Simulation

Subset by Support vector Margin Algorithm for Reliability esTimation

A limit-state-function defined by Rackwitz

Estimation of the parameters of the LSVM

Moving Particles

Computing quantiles with the Wilks formula

Test the convexity of set of data

Linear Support Vector Machine under monotonicity constraints

Crude Monte Carlo method

MonotonicQuantileEstimation

Quantile estimation under monotonicity constraints

ComputeDistributionParameter

Compute internal parameters and moments for univariate distribution functions