Package: decisionSupport
Type: Package
Title: Quantitative Support of Decision Making under Uncertainty
Version: 1.115
Date: 2025-08-03
Authors@R: c(
    person("Eike", "Luedeling",  email = "eike@eikeluedeling.com",  role = c("cre", "aut"), comment="University of Bonn"),
    person("Lutz", "Goehring", email = "lutz.goehring@gmx.de", role = "aut", comment="ICRAF and Lutz Goehring Consulting"),
    person("Katja", "Schiffers", email = "katja.schiffers@uni-bonn.de", role = "aut", comment="University of Bonn"),
    person("Cory", "Whitney", email = "cory.whitney@uni-bonn.de", role = "aut", comment="University of Bonn"),
    person("Eduardo", "Fernandez", email = "efernand@uni-bonn.de", role = "aut", comment="University of Bonn")
    )
Description: Supporting the quantitative analysis of binary welfare based
    decision making processes using Monte Carlo simulations. Decision support
    is given on two levels: (i) The actual decision level is to choose between
    two alternatives under probabilistic uncertainty. This package calculates
    the optimal decision based on maximizing expected welfare. (ii) The meta
    decision level is to allocate resources to reduce the uncertainty in the
    underlying decision problem, i.e to increase the current information to
    improve the actual decision making process. This problem is dealt with
    using the Value of Information Analysis. The Expected Value of
    Information for arbitrary prospective estimates can be calculated as
    well as Individual Expected Value of Perfect Information.
    The probabilistic calculations are done via Monte Carlo
    simulations. This Monte Carlo functionality can be used on its own.
License: GPL-3
Depends: R (>= 3.1.3)
Imports: assertthat, chillR (>= 0.62), class, dplyr, fANCOVA (>= 0.5),
        ggplot2 (>= 3.2.0), grDevices, magrittr, msm (>= 1.5), mvtnorm
        (>= 1.0.2), nleqslv (>= 2.6), patchwork, rriskDistributions (>=
        2.0), stats (>= 3.1.3), stringr, tidyr, tidyselect
Suggests: eha (>= 2.4.2), knitr, mc2d (>= 0.1.15), pls (>= 2.4.3),
        rmarkdown, scales, testthat (>= 0.9.1)
VignetteBuilder: knitr
URL: http://www.worldagroforestry.org/
Encoding: UTF-8
Classification/JEL: I38, O16, O21, O22, O23
RoxygenNote: 7.3.2
Collate: 'as.data.frame.mcSimulation.R' 'chance_event.R'
        'compound_figure.R' 'paramtnormci_fit.R'
        'paramtnormci_numeric.R' 'rtnorm90ci.R' 'rdistq_fit.R'
        'rdist90ci_exact.R' 'estimate1d.R' 'random.R'
        'rmvnorm90ci_exact.R' 'estimate.R' 'mcSimulation.R'
        'welfareDecisionAnalysis.R' 'eviSimulation.R'
        'individualEvpiSimulation.R' 'estimate_read_csv_old.R'
        'decisionSupport.R' 'decisionSupport-package.R' 'discount.R'
        'empirical_EVPI.R' 'global_variables.R' 'gompertz_yield.R'
        'hist.mcSimulation.R' 'make_CPT.R' 'multi_EVPI.R'
        'plainNames2data.frameNames.R' 'plot_cashflow.R'
        'plot_distributions.R' 'plot_evpi.R' 'plot_pls.R'
        'plsr.mcSimulation.R' 'print.mcSimuation.R'
        'print.summary.mcSimulation.R' 'random_state.R' 'sample_CPT.R'
        'sample_simple_CPT.R' 'scenario_mc.R' 'summary.mcSimulation.R'
        'temp_situations.R' 'vv.R'
NeedsCompilation: no
Packaged: 2025-08-03 21:39:20 UTC; luede
Author: Eike Luedeling [cre, aut] (University of Bonn),
  Lutz Goehring [aut] (ICRAF and Lutz Goehring Consulting),
  Katja Schiffers [aut] (University of Bonn),
  Cory Whitney [aut] (University of Bonn),
  Eduardo Fernandez [aut] (University of Bonn)
Maintainer: Eike Luedeling <eike@eikeluedeling.com>
Repository: CRAN
Date/Publication: 2025-08-19 18:00:02 UTC
Built: R 4.6.0; ; 2026-06-22 12:45:31 UTC; windows
