Package: VarRedOpt 0.1.0

VarRedOpt: A Framework for Variance Reduction

In order to make it easy to use variance reduction algorithms for any simulation, this framework can help you. We propose user friendly and easy to extend framework. Antithetic Variates, Inner Control Variates, Outer Control Variates and Importance Sampling algorithms are available in the framework. User can write its own simulation function and use the Variance Reduction techniques in this package to obtain more efficient simulations. An implementation of Asian Option simulation is already available within the package. See Kemal Dinçer Dingeç & Wolfgang Hörmann (2012) <doi:10.1016/j.ejor.2012.03.046>.

Authors:Onur Boyar [aut, cre], Wolfgang Hörmann [aut]

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NEWS

# Install 'VarRedOpt' in R:
install.packages('VarRedOpt', repos = c('https://onurboyar.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/onurboyar/varredopt/issues

On CRAN:

antithetic-variatesasian-optionimportance-samplingsimulationvariance-reduction

8 exports 1 stars 0.73 score 0 dependencies 2 scripts 166 downloads

Last updated 4 years agofrom:5b4624660a. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:BS_Asian_geommyq_asianmyq_euclideansim.AVsim.GeometricAvgsim.InnerCVsim.ISsim.outer

Dependencies: