as.data.frame.mcSimulation
                        Coerce Monte Carlo simulation results to a data
                        frame.
corMat                  Return the Correlation Matrix.
corMat<-                Replace correlation matrix.
decisionSupport         Welfare Decision and Value of Information
                        Analysis wrapper function.
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 confidence interval.
paramtnormci_numeric    Return parameters of truncated normal
                        distribution based on a confidence interval.
plainNames2data.frameNames
                        Transform model function variable names: plain
                        to data.frame names.
plsr.mcSimulation       Partial Least Squares Regression (PLSR) of
                        Monte Carlo simulation results.
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 generation.
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 generation (by exact parameter
                        calculation).
rdistq_fit              Quantiles based univariate random number
                        generation (by parameter fitting).
rmvnorm90ci_exact       90%-confidence interval multivariate normal
                        random number generation.
row.names.estimate      Get and set attributes of an 'estimate' object.
rtnorm90ci              90%-confidence interval based truncated normal
                        random number generation.
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.
