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.

AuthorEike Luedeling [cre, aut] (ICRAF), Lutz Göhring [aut] (ICRAF and Lutz Göhring Consulting)
Date of publication2016-04-26 08:44:15
MaintainerEike Luedeling <eike@eikeluedeling.com>
LicenseGPL-3
Version1.101.2
http://www.worldagroforestry.org/

View on CRAN

Man pages

as.data.frame.mcSimulation: Coerce Monte Carlo simulation results to a data frame.

corMat: Return the Correlation Matrix.

corMat-set: Replace correlation matrix.

decisionSupport: Welfare Decision and Value of Information Analysis wrapper...

decisionSupport-package: Quantitative Support of Decision Making under Uncertainty.

estimate: Create a multivariate estimate object.

estimate1d: Create a 1-dimensional estimate object.

estimate_read_csv: Read an Estimate from CSV - File.

estimate_write_csv: Write an Estimate to CSV - File.

eviSimulation: Expected Value of Information (EVI) Simulation.

hist.eviSimulation: Plot Histograms of results of an EVI simulation

hist.mcSimulation: Plot Histogram of results of a Monte Carlo Simulation

hist.welfareDecisionAnalysis: Plot Histogram of results of a Welfare Decision Analysis

individualEvpiSimulation: Individual Expected Value of Perfect Information Simulation

mcSimulation: Perform a Monte Carlo simulation.

paramtnormci_fit: Fit parameters of truncated normal distribution based on a...

paramtnormci_numeric: Return parameters of truncated normal distribution based on a...

plainNames2data.frameNames: Transform model function variable names: plain to data.frame...

plsr.mcSimulation: Partial Least Squares Regression (PLSR) of Monte Carlo...

print.mcSimulation: Print Basic Results from Monte Carlo Simulation.

print.summary.eviSimulation: Print the Summarized EVI Simulation Results.

print.summary.mcSimulation: Print the summary of a Monte Carlo simulation.

print.summary.welfareDecisionAnalysis: Print the summarized Welfare Decision Analysis results.

random: Quantiles or empirically based generic random number...

random.estimate: Generate random numbers for an estimate.

random.estimate1d: Generate univariate random numbers defined by a 1-d estimate.

rdist90ci_exact: 90%-confidence interval based univariate random number...

rdistq_fit: Quantiles based univariate random number generation (by...

rmvnorm90ci_exact: 90%-confidence interval multivariate normal random number...

row.names.estimate: Get and set attributes of an 'estimate' object.

rtnorm90ci: 90%-confidence interval based truncated normal random number...

sort.summary.eviSimulation: Sort Summarized EVI Simulation Results..

summary.eviSimulation: Summarize EVI Simulation Results

summary.mcSimulation: Summarize results from Monte Carlo simulation.

summary.welfareDecisionAnalysis: Summarize Welfare Decision Analysis results.

welfareDecisionAnalysis: Analysis of the underlying welfare based decision problem.

Files in this package

decisionSupport
decisionSupport/inst
decisionSupport/inst/extdata
decisionSupport/inst/extdata/profit-4.csv
decisionSupport/inst/extdata/profit-4_cor.csv
decisionSupport/tests
decisionSupport/tests/testthat.R
decisionSupport/tests/testthat
decisionSupport/tests/testthat/test_individualEvpiSimulation.R
decisionSupport/tests/testthat/profit-3.csv
decisionSupport/tests/testthat/profit-2.csv
decisionSupport/tests/testthat/test_random.estimate.R
decisionSupport/tests/testthat/test_welfareDecisionAnalysis.R
decisionSupport/tests/testthat/test_rmvnorm90ci_exact.R
decisionSupport/tests/testthat/test_rtnorm90ci.R
decisionSupport/tests/testthat/test_rdistq_fit.R
decisionSupport/tests/testthat/profit-1.csv
decisionSupport/tests/testthat/profit-2_cor.csv
decisionSupport/tests/testthat/test_estimate_read_csv.R
decisionSupport/tests/testthat/test_estimate1d.R
decisionSupport/tests/testthat/profit-4.csv
decisionSupport/tests/testthat/test_mcSimulaton.R
decisionSupport/tests/testthat/estimate5d.csv
decisionSupport/tests/testthat/profit-4_cor.csv
decisionSupport/tests/testthat/test_rdist90ci_exact.R
decisionSupport/NAMESPACE
decisionSupport/R
decisionSupport/R/paramtnormci_numeric.R decisionSupport/R/random.R decisionSupport/R/plainNames2data.frameNames.R decisionSupport/R/estimate1d.R decisionSupport/R/decisionSupport.R decisionSupport/R/mcSimulation.R decisionSupport/R/rmvnorm90ci_exact.R decisionSupport/R/paramtnormci_fit.R decisionSupport/R/rtnorm90ci.R decisionSupport/R/eviSimulation.R decisionSupport/R/estimate_read_csv_old.R decisionSupport/R/rdist90ci_exact.R decisionSupport/R/estimate.R decisionSupport/R/rdistq_fit.R decisionSupport/R/decisionSupport-package.R decisionSupport/R/plsr.mcSimulation.R decisionSupport/R/individualEvpiSimulation.R decisionSupport/R/welfareDecisionAnalysis.R
decisionSupport/MD5
decisionSupport/DESCRIPTION
decisionSupport/man
decisionSupport/man/sort.summary.eviSimulation.Rd decisionSupport/man/mcSimulation.Rd decisionSupport/man/individualEvpiSimulation.Rd decisionSupport/man/hist.mcSimulation.Rd decisionSupport/man/decisionSupport-package.Rd decisionSupport/man/summary.mcSimulation.Rd decisionSupport/man/decisionSupport.Rd decisionSupport/man/rmvnorm90ci_exact.Rd decisionSupport/man/print.mcSimulation.Rd decisionSupport/man/summary.welfareDecisionAnalysis.Rd decisionSupport/man/plainNames2data.frameNames.Rd decisionSupport/man/paramtnormci_numeric.Rd decisionSupport/man/welfareDecisionAnalysis.Rd decisionSupport/man/row.names.estimate.Rd decisionSupport/man/print.summary.eviSimulation.Rd decisionSupport/man/plsr.mcSimulation.Rd decisionSupport/man/hist.eviSimulation.Rd decisionSupport/man/print.summary.mcSimulation.Rd decisionSupport/man/rdistq_fit.Rd decisionSupport/man/hist.welfareDecisionAnalysis.Rd decisionSupport/man/estimate1d.Rd decisionSupport/man/estimate_write_csv.Rd decisionSupport/man/rdist90ci_exact.Rd decisionSupport/man/paramtnormci_fit.Rd decisionSupport/man/random.Rd decisionSupport/man/as.data.frame.mcSimulation.Rd decisionSupport/man/rtnorm90ci.Rd decisionSupport/man/summary.eviSimulation.Rd decisionSupport/man/corMat.Rd decisionSupport/man/estimate.Rd decisionSupport/man/estimate_read_csv.Rd decisionSupport/man/random.estimate1d.Rd decisionSupport/man/corMat-set.Rd decisionSupport/man/random.estimate.Rd decisionSupport/man/print.summary.welfareDecisionAnalysis.Rd decisionSupport/man/eviSimulation.Rd

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