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decisionSupport

The R-package decisionSupport is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

The R-package decisionSupport is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with the R-package decisionSupport. If not, see http://www.gnu.org/licenses/.

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CRAN Version

Installation

Install the released version of decisionSupport from CRAN with install.packages("decisionSupport").

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Install

install.packages('decisionSupport')

Monthly Downloads

445

Version

1.106

License

GPL-3

Maintainer

Eike Luedeling

Last Published

March 1st, 2021

Functions in decisionSupport (1.106)

as.data.frame.mcSimulation

Coerce Monte Carlo simulation results to a data frame.
compound_figure

Compound figure for decision support
decisionSupport-package

Quantitative Support of Decision Making under Uncertainty.
decisionSupport

Welfare Decision and Value of Information Analysis wrapper function.
estimate

Create a multivariate estimate object.
corMat

Return the Correlation Matrix.
corMat<-

Replace correlation matrix.
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.
chance_event

simulate occurrence of random events
individualEvpiSimulation

Individual Expected Value of Perfect Information Simulation
estimate_read_csv

Read an Estimate from CSV - File.
estimate1d

Create a 1-dimensional estimate object.
hist.eviSimulation

Plot Histograms of results of an EVI simulation
gompertz_yield

Gompertz function yield prediction for perennials
plsr.mcSimulation

Partial Least Squares Regression (PLSR) of Monte Carlo simulation results.
estimate_write_csv

Write an Estimate to CSV - File.
hist.mcSimulation

Plot Histogram of results of a Monte Carlo Simulation
plot_pls

Visualizing Projection to Latent Structures (PLS) regression outputs for various types of Monte Carlo simulation results
rtnorm90ci

90%-confidence interval based truncated normal random number generation.
make_CPT

Make Conditional Probability tables using the likelihood method
plot_distributions

Probability distribution plots for various types of Monte Carlo simulation results
print.summary.eviSimulation

Print the Summarized EVI Simulation Results.
plainNames2data.frameNames

Transform model function variable names: plain to data.frame names.
plot_cashflow

Cashflow plot for Monte Carlo simulation results
print.mcSimulation

Print Basic Results from Monte Carlo Simulation.
hist.welfareDecisionAnalysis

Plot Histogram of results of a Welfare Decision Analysis
eviSimulation

Expected Value of Information (EVI) Simulation.
sample_simple_CPT

Make Conditional Probability tables using the likelihood method
sample_CPT

Sample a Conditional Probability Table
random

Quantiles or empirically based generic random number generation.
plot_evpi

Visualizing the results of Expected Value of Perfect Information (EVPI) analysis for various types of Monte Carlo simulation results
rdist90ci_exact

90%-confidence interval based univariate random number generation (by exact parameter calculation).
rmvnorm90ci_exact

90%-confidence interval multivariate normal random number generation.
rdistq_fit

Quantiles based univariate random number generation (by parameter fitting).
row.names.estimate

Get and set attributes of an estimate object.
sort.summary.eviSimulation

Sort Summarized EVI Simulation Results..
paramtnormci_numeric

Return parameters of truncated normal distribution based on a confidence interval.
random_state

Draw a random state for a categorical variable
paramtnormci_fit

Fit parameters of truncated normal distribution based on a confidence interval.
random.estimate1d

Generate univariate random numbers defined by a 1-d estimate.
summary.welfareDecisionAnalysis

Summarize Welfare Decision Analysis results.
mcSimulation

Perform a Monte Carlo simulation.
random.estimate

Generate random numbers for an estimate.
summary.eviSimulation

Summarize EVI Simulation Results
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.
print.summary.mcSimulation

Print the summary of a Monte Carlo simulation.
welfareDecisionAnalysis

Analysis of the underlying welfare based decision problem.
vv

value varier function
summary.mcSimulation

Summarize results from Monte Carlo simulation.
print.summary.welfareDecisionAnalysis

Print the summarized Welfare Decision Analysis results.
temp_situations

Situation occurrence and resolution