ipptoolbox: IPP Toolbox

Uncertainty quantification and propagation in the framework of Dempster-Shafer Theory and imprecise probabilities. This toolbox offers easy-to-use methods for using imprecise probabities for applied uncertainty modelling and simulation. The package comprises the basic functionality needed, with usability similar to standard probabilistic analysis: - Fit imprecise probability distributions from data, - Define imprecise probabilities based on distribution functions, - Combine with various aggregation rules (e. g. Dempster's rule), - Plotting tools, - Propagate through arbitrary functions / simulations via Monte Carlo, - Perform sensitivity analyses with imprecise distributions, - Example models for a quick start.

Package details

AuthorPhilipp Limbourg <[email protected]>
MaintainerPhilipp Limbourg <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ipptoolbox documentation built on Jan. 8, 2019, 1:08 a.m.