Quantitative Support of Decision Making under Uncertainty


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Documentation for package ‘decisionSupport’ version 1.106

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decisionSupport-package Quantitative Support of Decision Making under Uncertainty.
as.data.frame.mcSimulation Coerce Monte Carlo simulation results to a data frame.
as.estimate Create a multivariate estimate object.
as.estimate1d Create a 1-dimensional estimate object.
chance_event simulate occurrence of random events
compound_figure Compound figure for decision support
corMat Return the Correlation Matrix.
corMat.estimate Get and set attributes of an 'estimate' object.
corMat<- Replace correlation matrix.
corMat<-.estimate Get and set attributes of an 'estimate' object.
decisionSupport Welfare Decision and Value of Information Analysis wrapper function.
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_read_csv_old 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.
names.estimate Get and set attributes of an 'estimate' object.
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.EVPI_outputs 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.
plot.EVPI_res Expected value of perfect information (EVPI) for a simple model with the predictor variable sampled from a normal distribution with.
plot_cashflow Cashflow plot for Monte Carlo simulation results
plot_distributions Probability distribution plots for various types of Monte Carlo simulation results
plot_empirical_EVPI Expected value of perfect information (EVPI) for a simple model with the predictor variable sampled from a normal distribution with.
plot_evpi Visualizing the results of Expected Value of Perfect Information (EVPI) analysis for various types of Monte Carlo simulation results
plot_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.
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.data.frame Quantiles or empirically based generic random number generation.
random.default 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.vector Quantiles or empirically based generic random number generation.
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.
rposnorm90ci 90%-confidence interval based truncated normal random number generation.
rtnorm90ci 90%-confidence interval based truncated normal random number generation.
rtnorm_0_1_90ci 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
sort.summary.eviSimulation Sort Summarized EVI Simulation Results..
summary.eviSimulation Summarize EVI Simulation Results
summary.EVPI_outputs 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.
summary.EVPI_res Expected value of perfect information (EVPI) for a simple model with the predictor variable sampled from a normal distribution with.
summary.mcSimulation Summarize results from Monte Carlo simulation.
summary.welfareDecisionAnalysis Summarize Welfare Decision Analysis results.
summary_empirical_EVPI Expected value of perfect information (EVPI) for a simple model with the predictor variable sampled from a normal distribution with.
summary_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.
temp_situations Situation occurrence and resolution
vv value varier function
welfareDecisionAnalysis Analysis of the underlying welfare based decision problem.