as.data.frame.mcSimulation
                        Coerce Monte Carlo simulation results to a data
                        frame.
chance_event            simulate occurrence of random events
compound_figure         Compound figure for decision support
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.
discount                Discount time series for Net Present Value
                        (NPV) calculation
empirical_EVPI          Expected value of perfect information (EVPI)
                        for a simple model with the predictor variable
                        sampled from a normal distribution with.
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.
gompertz_yield          Gompertz function yield prediction for
                        perennials
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
make_CPT                Make Conditional Probability tables using the
                        likelihood method
mcSimulation            Perform a Monte Carlo simulation.
multi_EVPI              Expected value of perfect information (EVPI)
                        for multiple variables. This is a wrapper for
                        the empirical_EVPI function. See the
                        documentation of the 'empirical_EVPI' function
                        for more details.
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.
plot_cashflow           Cashflow plot for Monte Carlo simulation
                        results
plot_distributions      Probability distribution plots for various
                        types of Monte Carlo simulation results
plot_evpi               Visualizing the results of Expected Value of
                        Perfect Information (EVPI) analysis for various
                        types of Monte Carlo simulation results
plot_pls                Visualizing Projection to Latent Structures
                        (PLS) regression outputs for various types of
                        Monte Carlo simulation results
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.
random_state            Draw a random state for a categorical variable
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.
sample_CPT              Sample a Conditional Probability Table
sample_simple_CPT       Make Conditional Probability tables using the
                        likelihood method
scenario_mc             Perform a Monte Carlo simulation for predefined
                        scenarios.
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.
temp_situations         Situation occurrence and resolution
vv                      value varier function
welfareDecisionAnalysis
                        Analysis of the underlying welfare based
                        decision problem.
