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If a procedure consists of several stages and there are several models that can be selected for each stage, uncertainty of the procedure can be decomposed by stages or models. This package includes the ANOVA-based method, the cumulative uncertainty-based method, and the balanced decomposition method. Yongdai Kim et al. (2019) <doi:10.1016/j.hydroa.2019.100024> is a related paper which is accessible via the URL below.
Version: | 1.0.1 |
Depends: | R (≥ 3.4.4) |
Imports: | ggplot2, dplyr |
Published: | 2019-11-07 |
DOI: | 10.32614/CRAN.package.UncDecomp |
Author: | Seonghyeon Kim [aut, cre], Yongdai Kim [aut], Ilsang Ohn [aut] |
Maintainer: | Seonghyeon Kim <shkim93 at snu.ac.kr> |
License: | GPL-2 |
URL: | https://www.sciencedirect.com/science/article/pii/S2589915519300082 |
NeedsCompilation: | no |
CRAN checks: | UncDecomp results |
Reference manual: | UncDecomp.pdf |
Package source: | UncDecomp_1.0.1.tar.gz |
Windows binaries: | r-devel: UncDecomp_1.0.1.zip, r-release: UncDecomp_1.0.1.zip, r-oldrel: UncDecomp_1.0.1.zip |
macOS binaries: | r-release (arm64): UncDecomp_1.0.1.tgz, r-oldrel (arm64): UncDecomp_1.0.1.tgz, r-release (x86_64): UncDecomp_1.0.1.tgz, r-oldrel (x86_64): UncDecomp_1.0.1.tgz |
Old sources: | UncDecomp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.