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 |
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 |
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. |
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. |
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.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. |