Roland Allart , Aude Alaphilippe , Marta Carpani , Nicolas Cavan , Hervé Monod , Jacques-Eric Bergez
{"title":"dexisensitivity: An R package to perform sensitivity analyses of DEXi models","authors":"Roland Allart , Aude Alaphilippe , Marta Carpani , Nicolas Cavan , Hervé Monod , Jacques-Eric Bergez","doi":"10.1016/j.simpa.2024.100729","DOIUrl":null,"url":null,"abstract":"<div><div>DEXi is a software for developing qualitative hierarchical models. Widely used in the French agriculture sector to analyze the sustainability of farming systems, the sensitivity analyses of the models are still missing. The <em>dexisensitivity</em> R package performs such sensitivity analyses. Written using R S4 Object programming, it performs basic functions (reads DEXi models, describes and draws the models, generates and simulates scenarios) and other functions to perform different types of sensitivity analyses: analysis of variance, One-At-A-Time, sensitivity indexes using the Shapiro-Shapley approach… The <em>dexisensitivity</em> R package is distributed under the GPL license and is accessible from CRAN and GitHub.</div></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":"23 ","pages":"Article 100729"},"PeriodicalIF":1.3000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Software Impacts","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2665963824001179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
DEXi is a software for developing qualitative hierarchical models. Widely used in the French agriculture sector to analyze the sustainability of farming systems, the sensitivity analyses of the models are still missing. The dexisensitivity R package performs such sensitivity analyses. Written using R S4 Object programming, it performs basic functions (reads DEXi models, describes and draws the models, generates and simulates scenarios) and other functions to perform different types of sensitivity analyses: analysis of variance, One-At-A-Time, sensitivity indexes using the Shapiro-Shapley approach… The dexisensitivity R package is distributed under the GPL license and is accessible from CRAN and GitHub.