decisionSupport

Quantitative Support of Decision Making under Uncertainty

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.

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Description file content

Package
decisionSupport
Type
Package
Title
Quantitative Support of Decision Making under Uncertainty
Version
1.103.7
Date
2018-05-15
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.
License
GPL-3
Depends
R (>= 3.1.3)
Imports
chillR (>= 0.62), msm (>= 1.5), mvtnorm (>= 1.0.2), stats (>= 3.1.3), rriskDistributions (>= 2.0), nleqslv (>= 2.6)
Suggests
eha (>= 2.4.2), mc2d (>= 0.1.15), pls (>= 2.4.3), testthat (>= 0.9.1), knitr, rmarkdown
VignetteBuilder
knitr
URL
Encoding
UTF-8
Classification/JEL
I38, O16, O21, O22, O23
Collate
'chance_event.R' 'paramtnormci_fit.R' 'paramtnormci_numeric.R' 'rtnorm90ci.R' 'rdistq_fit.R' 'rdist90ci_exact.R' 'estimate1d.R' 'random.R' 'rmvnorm90ci_exact.R' 'estimate.R' 'mcSimulation.R' 'welfareDecisionAnalysis.R' 'eviSimulation.R' 'individualEvpiSimulation.R' 'estimate_read_csv_old.R' 'decisionSupport.R' 'decisionSupport-package.R' 'discount.R' 'gompertz_yield.R' 'make_CPT.R' 'plainNames2data.frameNames.R' 'plsr.mcSimulation.R' 'random_state.R' 'sample_CPT.R' 'sample_simple_CPT.R' 'temp_situations.R' 'vv.R'
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-05-15 21:52:13 UTC; USER
Author
Eike Luedeling [cre, aut] (ICRAF), Lutz Goehring [aut] (ICRAF and Lutz Goehring Consulting), World Agroforesrtry Centre (ICRAF) [cph]
Maintainer
Eike Luedeling
Repository
CRAN
Date/Publication
2018-05-15 22:33:26 UTC

install.packages('decisionSupport')

1.103.7

4 days ago

http://www.worldagroforestry.org/

Eike Luedeling

GPL-3

Depends on

R (>= 3.1.3)

Imports

chillR (>= 0.62), msm (>= 1.5), mvtnorm (>= 1.0.2), stats (>= 3.1.3), rriskDistributions (>= 2.0), nleqslv (>= 2.6)

Suggests

eha (>= 2.4.2), mc2d (>= 0.1.15), pls (>= 2.4.3), testthat (>= 0.9.1), knitr, rmarkdown

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