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.

Version: 1.2
Depends: R (≥ 3.5), AlgDesign, copula, evd, triangle, kolmim
Published: 2019-01-07
Author: Philipp Limbourg
Maintainer: Philipp Limbourg <p.limbourg at uni-due.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ipptoolbox citation info
CRAN checks: ipptoolbox results


Reference manual: ipptoolbox.pdf
Package source: ipptoolbox_1.2.tar.gz
Windows binaries: r-devel: ipptoolbox_1.2.zip, r-release: ipptoolbox_1.2.zip, r-oldrel: ipptoolbox_1.2.zip
macOS binaries: r-release: ipptoolbox_1.2.tgz, r-oldrel: ipptoolbox_1.2.tgz
Old sources: ipptoolbox archive


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