Other packages > Find by keyword >

decisionSupport  

Quantitative Support of Decision Making under Uncertainty
View on CRAN: Click here


Download and install decisionSupport package within the R console
Install from CRAN:
install.packages("decisionSupport")

Install from Github:
library("remotes")
install_github("cran/decisionSupport")

Install by package version:
library("remotes")
install_version("decisionSupport", "1.115")



Attach the package and use:
library("decisionSupport")
Maintained by
Eike Luedeling
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-20
Latest Update: 2025-09-03
Description:
Supporting the quantitative analysis of binary welfare based decision making processes using Monte Carlo simulations. Decision support is given on two levels: (i) The actual decision level is to choose between two alternatives under probabilistic uncertainty. This package calculates the optimal decision based on maximizing expected welfare. (ii) The meta decision level is to allocate resources to reduce the uncertainty in the underlying decision problem, i.e to increase the current information to improve the actual decision making process. This problem is dealt with using the Value of Information Analysis. The Expected Value of Information for arbitrary prospective estimates can be calculated as well as Individual Expected Value of Perfect Information. The probabilistic calculations are done via Monte Carlo simulations. This Monte Carlo functionality can be used on its own.
How to cite:
Eike Luedeling (2015). decisionSupport: Quantitative Support of Decision Making under Uncertainty. R package version 1.115, https://cran.r-project.org/web/packages/decisionSupport. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:31), 1.101.1 (2015-05-20 01:20), 1.101.2 (2016-04-26 08:44), 1.102.1 (2017-10-06 14:57), 1.102.2 (2017-11-13 16:17), 1.103.2 (2017-11-27 14:19), 1.103.6 (2017-11-28 01:10), 1.103.7 (2018-05-16 00:33), 1.103.8 (2018-10-15 12:00), 1.105.2 (2019-10-16 22:20), 1.105.3 (2020-05-12 07:00), 1.106 (2021-03-01 18:40), 1.107 (2021-10-16 16:30), 1.108 (2021-10-17 01:20), 1.109 (2021-11-19 08:20), 1.110 (2022-02-18 10:00), 1.111 (2022-05-09 14:30), 1.113 (2023-10-06 01:20), 1.114 (2024-04-08 17:20)
Other packages that cited decisionSupport R package
View decisionSupport citation profile
Other R packages that decisionSupport depends, imports, suggests or enhances
Complete documentation for decisionSupport
Functions, R codes and Examples using the decisionSupport R package
Some associated functions: as.data.frame.mcSimulation . chance_event . compound_figure . corMat-set . corMat . decisionSupport-package . decisionSupport . discount . empirical_EVPI . estimate . estimate1d . estimate_read_csv . estimate_write_csv . eviSimulation . gompertz_yield . hist.eviSimulation . hist.mcSimulation . hist.welfareDecisionAnalysis . individualEvpiSimulation . make_CPT . mcSimulation . multi_EVPI . paramtnormci_fit . paramtnormci_numeric . plainNames2data.frameNames . plot_cashflow . plot_distributions . plot_evpi . plot_pls . plsr.mcSimulation . print.mcSimulation . print.summary.eviSimulation . print.summary.mcSimulation . print.summary.welfareDecisionAnalysis . random.estimate . random.estimate1d . random . random_state . rdist90ci_exact . rdistq_fit . rmvnorm90ci_exact . row.names.estimate . rtnorm90ci . sample_CPT . sample_simple_CPT . scenario_mc . sort.summary.eviSimulation . summary.eviSimulation . summary.mcSimulation . summary.welfareDecisionAnalysis . temp_situations . vv . welfareDecisionAnalysis . 
Some associated R codes: as.data.frame.mcSimulation.R . chance_event.R . compound_figure.R . decisionSupport-package.R . decisionSupport.R . discount.R . empirical_EVPI.R . estimate.R . estimate1d.R . estimate_read_csv_old.R . eviSimulation.R . global_variables.R . gompertz_yield.R . hist.mcSimulation.R . individualEvpiSimulation.R . make_CPT.R . mcSimulation.R . multi_EVPI.R . paramtnormci_fit.R . paramtnormci_numeric.R . plainNames2data.frameNames.R . plot_cashflow.R . plot_distributions.R . plot_evpi.R . plot_pls.R . plsr.mcSimulation.R . print.mcSimuation.R . print.summary.mcSimulation.R . random.R . random_state.R . rdist90ci_exact.R . rdistq_fit.R . rmvnorm90ci_exact.R . rtnorm90ci.R . sample_CPT.R . sample_simple_CPT.R . scenario_mc.R . summary.mcSimulation.R . temp_situations.R . vv.R . welfareDecisionAnalysis.R .  Full decisionSupport package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA