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brisk
View on CRAN: Click
here
Download and install brisk package within the R console
Install from CRAN:
install.packages("brisk")
Install from Github:
library("remotes")
install_github("cran/brisk")
Install by package version:
library("remotes")
install_version("brisk", "0.1.0")
Attach the package and use:
library("brisk")
Maintained by
Richard Payne
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-31
Latest Update: 2022-08-31
Description:
Quantitative methods for benefit-risk analysis help to condense
complex decisions into a univariate metric describing the overall benefit
relative to risk. One approach is to use the multi-criteria decision
analysis framework (MCDA), as in Mussen, Salek, and Walker
(2007) . Bayesian benefit-risk
analysis incorporates uncertainty through posterior distributions which are
inputs to the benefit-risk framework. The brisk package provides functions
to assist with Bayesian benefit-risk analyses, such as MCDA.
Users input posterior samples, utility functions, weights, and the package
outputs quantitative benefit-risk scores. The posterior of the benefit-risk
scores for each group can be compared. Some plotting capabilities are also
included.
How to cite:
Richard Payne (2022). brisk: Bayesian Benefit Risk Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/brisk. Accessed 22 Dec. 2024.
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Complete documentation for brisk
Functions, R codes and Examples using
the brisk R package
Some associated functions: br . br_group . pbrisk . plot.brisk_br . plot_utility . sim_weights . summary.brisk_br .
Some associated R codes: assert.R . benefit_risk.R . imports.R . plot.R . weights.R . Full brisk package functions and examples
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