Learn R Programming
⚠️There's a newer version (2.2.2) of this package.Take me there.

mistral (version 2.2.1)

Methods in Structural Reliability

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 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.

Copy Link

Version

Install

install.packages('mistral')

Monthly Downloads

251

Version

2.2.1

License

CeCILL

Maintainer

Bertrand Iooss

Last Published

April 18th, 2021

Functions in mistral (2.2.1)

estimateSUR

EstimateSUR
LSVM

Linear Support Vector Machine under monotonicity constraints
MetaIS

Metamodel based Impotance Sampling
WilksFormula

Sample size by Wilks formula
MonotonicQuantileEstimation

Quantile estimation under monotonicity constraints
MP

Moving Particles
FORM

First-order reliability method
AKMCS

Active learning reliability method combining Kriging and Monte Carlo Simulation
MonteCarlo

Crude Monte Carlo method
BMP

Bayesian Moving Particles
MetropolisHastings

The modified Metropolis-Hastings algorithm
ComputeDistributionParameter

Compute internal parameters and moments for univariate distribution functions
cantilever

A function calculating the deviation of a cantilever beam.
mistral-package

Methods In Structural Reliability Analysis
plotLSVM

plot of LSVM
XtoU

From X to standard space
S2MART

Subset by Support vector Margin Algorithm for Reliability esTimation
kiureghian

A limit-state-function defined by Der Kiureghian
quantileWilks

Computing quantiles with the Wilks formula
UtoX

Iso-probabilistic transformation from U space to X space
rackwitz

A limit-state-function defined by Rackwitz
modelLSVM

Estimation of the parameters of the LSVM
SMART

Support-vector Margin Algoritm for Reliability esTimation
ok

Class of Ordinary Kriging
generateK

Generate Standard Gaussian samples with a Gaussian transiiton kernel
SubsetSimulation

Subset Simulation Monte Carlo
MRM

MRM method
oscillator_d6

A limit-state-function defined with a non-linear oscillator in dimension 6.
FORMv0

FORM method (old version)
ModifCorrMatrix

Modification of a correlation matrix to use in UtoX
IRW

Increasing Randow Walk
updateSd

UpdateSd
updateLSVM

Update LSVM classifier
updateSd.old

UpdateSd.old
waarts

A limit-state-function defined by Waarts
testConvexity

Test the convexity of set of data
precomputeUpdateData

precomputeUpdateData
twodof

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