{ "_id": "6a101e73acfb0bcc41c8aa80", "Package": "BLMEngineInR", "Type": "Package", "Version": "0.1.7", "Date": "2025-09-03", "Title": "Biotic Ligand Model Engine", "Authors@R": "c(person(given = \"Robert\", family = \"Santore\", \nemail = \"roberts@windwardenv.com\",\nrole = c(\"aut\")),\nperson(given = \"Kelly\", family = \"Croteau\",\nemail = \"kellyc@windwardenv.com\",\nrole = c(\"aut\",\"cre\")))", "Description": "A chemical speciation and toxicity prediction model for\nthe toxicity of metals to aquatic organisms. The Biotic Ligand\nModel (BLM) engine was originally programmed in 'PowerBasic' by\nRobert Santore and others. The main way the BLM can be used is\nto predict the toxicity of a metal to an organism with a known\nsensitivity (i.e., it is known how much of that metal must\naccumulate on that organism's biotic ligand to cause a\nphysiological effect in a certain percentage of the population,\nsuch as a 20% loss in reproduction or a 50% mortality rate).\nThe second way the BLM can be used is to estimate the chemical\nspeciation of the metal and other constituents in water,\nincluding estimating the amount of metal accumulated to an\norganism's biotic ligand during a toxicity test. In the first\napplication of the BLM, the amount of metal associated with a\ntoxicity endpoint, or regulatory limit will be predicted, while\nin the second application, the amount of metal is known and the\nportions of that metal that exist in various forms will be\ndetermined. This version of the engine has been re-structured\nto perform the calculations in a different way that will make\nit more efficient in R, while also making it more flexible and\neasier to maintain in the future. 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