{ "_id": "6ace371aa14063b82c3b165b", "Package": "dexisensitivity", "Title": "'DEXi' Decision Tree Analysis and Visualization", "Version": "1.0.4", "Authors@R": "c(\nperson(\"Roland\", \"Allart\", email = \"roland.allart@inrae.fr\", role = c(\"aut\")),\nperson(\"Jacques-Eric\", \"Bergez\", email = \"jacques-eric.bergez@inrae.fr\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0003-3467-2617\")),\nperson(\"Marta\", \"Carpani\", role = c(\"aut\")),\nperson(\"Hervé\", \"Monod\", role = c(\"aut\"), comment = c(ORCID = \"0000-0001-8225-495X\")),\nperson(\"Aude\", \"Alaphilippe\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-4504-2728\")),\nperson(\"Nicolas\", \"Cavan\", email = \"nicolas.cavan@inrae.fr\", role = c(\"ctb\",\"cre\")),\nperson(\"INRAE\", role = c(\"cph\"), comment = \"(National Research Institute for Agriculture, Food and Environment, France)\"\n))", "Description": "Provides a versatile toolkit for analyzing and visualizing\n'DEXi' (Decision EXpert for education) decision trees,\nfacilitating multi-criteria decision analysis directly within\nR. Users can read .dxi files, manipulate decision trees, and\nevaluate various scenarios. It supports sensitivity analysis\nthrough Monte Carlo simulations, one-at-a-time approaches, and\nvariance-based methods, helping to discern the impact of input\nvariations. Additionally, it includes functionalities for\ngenerating sampling plans and an array of visualization options\nfor decision trees and analysis results. A distinctive feature\nis the synoptic table plot, aiding in the efficient comparison\nof scenarios. Whether for in-depth decision modeling or\nsensitivity analysis, this package stands as a comprehensive\nsolution. Definition of sensitivity analyses available in\nCarpani, Bergez and Monod (2012)\n and detailed description of\nthe package available in Alaphilippe et al. (2025)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "LazyData": "true", "Repository": "https://nicavan.r-universe.dev", "Date/Publication": "2026-09-02 13:22:05 UTC", "RemoteUrl": "https://github.com/nicavan/dexisensitivity", "RemoteRef": "HEAD", "RemoteSha": "3c2e66833f37b76e41afbccbdd48d08f93d9a29f", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-13 13:20:10 UTC", "User": "root" }, "Author": "Roland Allart [aut],\nJacques-Eric Bergez [aut] (ORCID:\n),\nMarta Carpani [aut],\nHervé Monod [aut] (ORCID: ),\nAude Alaphilippe [ctb] (ORCID: ),\nNicolas Cavan [ctb, cre],\nINRAE [cph] ((National Research Institute for Agriculture, Food and\nEnvironment, France))", "Maintainer": "Nicolas Cavan ", "_user": "nicavan", "_type": "src", "_file": "dexisensitivity_1.0.4.tar.gz", "_fileid": "https://r2.ropensci.org/af370a183c539212cf5b4cb61d024074f22128a8be0249a48667f679268ab141", "_filesize": 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Given Tree", "topics": [ "create_options" ] }, { "page": "create_sub_tree", "title": "Create a Subtree Starting from a Specific Node", "topics": [ "create_sub_tree" ] }, { "page": "create_synoptique", "title": "Create a Synoptic Plot from a Given Tree Structure", "topics": [ "create_synoptique" ] }, { "page": "create_tree", "title": "Tree Construction from DEXi's XML Output", "topics": [ "create_tree" ] }, { "page": "describe", "title": "Generic Describe Function for Objects", "topics": [ "describe" ] }, { "page": "describe-Tree-method", "title": "Describe Method for Tree Class Objects", "topics": [ "describe,Tree-method", "describe.Tree" ] }, { "page": "dexifruits_v1", "title": "DEXiFruits_v1 model", "topics": [ "dexifruits_v1" ] }, { "page": "estimate_aov_time", "title": "Execution Time Estimation for Factorial Simulations", "topics": [ "estimate_aov_time" ] }, { "page": "estimate_mc_time", "title": "Estimates Execution Time for Monte Carlo Simulations", "topics": [ 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