{ "_id": "6a104a54acfb0bcc41c9fa89", "Package": "decisionSupport", "Type": "Package", "Title": "Quantitative Support of Decision Making under Uncertainty", "Version": "1.115", "Date": "2025-08-03", "Authors@R": "c(\nperson(\"Eike\", \"Luedeling\", email = \"eike@eikeluedeling.com\", role = c(\"cre\", \"aut\"), comment=\"University of Bonn\"),\nperson(\"Lutz\", \"Goehring\", email = \"lutz.goehring@gmx.de\", role = \"aut\", comment=\"ICRAF and Lutz Goehring Consulting\"),\nperson(\"Katja\", \"Schiffers\", email = \"katja.schiffers@uni-bonn.de\", role = \"aut\", comment=\"University of Bonn\"),\nperson(\"Cory\", \"Whitney\", email = \"cory.whitney@uni-bonn.de\", role = \"aut\", comment=\"University of Bonn\"),\nperson(\"Eduardo\", \"Fernandez\", email = \"efernand@uni-bonn.de\", role = \"aut\", comment=\"University of Bonn\")\n)", "Description": "Supporting the quantitative analysis of binary welfare\nbased decision making processes using Monte Carlo simulations.\nDecision support is given on two levels: (i) The actual\ndecision level is to choose between two alternatives under\nprobabilistic uncertainty. 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