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 |
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Author | Philipp Limbourg <p.limbourg@uni-due.de> |
Maintainer | Philipp Limbourg <p.limbourg@uni-due.de> |
License | GPL (>= 2) |
Version | 1.2 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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