person("Inna", "Gerlovina", email = "innager@berkeley.edu",
person("Alan", "Hubbard", email = "hubbard.berkeley.edu",
two-sample pooled estimates up to 6th order, including estimates of
powers and products of central moments. Provides the machinery for
obtaining unbiased central moment estimators beyond 6th order by generating
expressions for expectations of raw sample moments and their powers and

Title: Simulating Realistic Gene Expression Data
Description: The Ultimate Microrray Prediction, Reality and Inference
Engine (UMPIRE) is a package to facilitate the simulation of realistic
microarray data sets with link to associate outcomes. See Zhang and

Packaged: 2019-05-06 12:47:22 UTC; Kevin Coombes

Title: Simulating Realistic Gene Expression and Clinical Data
Author: Kevin R. Coombes, Jiexin Zhang, Caitlin E. Coombes
microarray data sets with links to associated outcomes. See Zhang and
ability to simulate realistic mixed-typed clinical data.
Imports: methods, stats, mc2d, BimodalIndex
Suggests: mclust, survival, knitr, rmarkdown

Authors@R: c(person("Seonghyeon", "Kim", email = "shkim93@snu.ac.kr", role = c("aut", "cre")),
Description: If a procedure consists of several stages and there are several scenarios that can be selected for each stage,
uncertainty of the procedure can be decomposed by stages or scenarios.
cum_uncertainty() is used to decompose uncertainty based on the cumulative uncertainty.
stage_uncertainty() and scenario_uncertainty() is used to decompose uncertainty based on the second order interaction ANOVA model.
In stage_uncertainty() and scenario_uncertainty(), the uncertainty from interaction effect from two stages is distributed equally to each stage.

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.