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UncDecomp
View on CRAN: Click
here
Download and install UncDecomp package within the R console
Install from CRAN:
install.packages("UncDecomp")
Install from Github:
library("remotes")
install_github("cran/UncDecomp") Install by package version:
library("remotes")
install_version("UncDecomp", "1.0.1") Attach the package and use:
library("UncDecomp")
Maintained by
Seonghyeon Kim
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-15
Latest Update: 2019-11-07
Description:
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.
How to cite:
Seonghyeon Kim (2018). UncDecomp: Uncertainty Decomposition. R package version 1.0.1, https://cran.r-project.org/web/packages/UncDecomp. Accessed 07 Mar. 2026.
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Other R packages that UncDecomp depends,
imports, suggests or enhances
Complete documentation for UncDecomp
Functions, R codes and Examples using
the UncDecomp R package
Some associated functions: UD_ANOVA_model . UD_ANOVA_stage . UD_bal_model . UD_bal_stage . UD_cum_stage . UD_model2stage . UDtable . apply_sweep . cum_uncertainty . drange . plotUDlist . printUD . scenario_uncertainty . stage_uncertainty . unc_measures . unc_postprocess . var0 .
Some associated R codes: UD_ANOVA_model.R . UD_ANOVA_stage.R . UD_bal_model.R . UD_bal_stage.R . UD_cum_stage.R . UDtable.R . apply_sweep.R . cum_uncertainty.R . drange.R . model2stage.R . plotUDlist.R . printUD.R . scenario_uncertainty.R . stage_uncertainty.R . unc_measures.R . unc_postprocess.R . var0.R . Full UncDecomp package functions and examples
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