BLMEngineInR: Biotic Ligand Model Engine
A chemical speciation and toxicity prediction model for the
toxicity of metals to aquatic organisms. The Biotic Ligand Model (BLM)
engine was originally programmed in 'PowerBasic' by Robert Santore and
others. The main way the BLM can be used is to predict the toxicity of a
metal to an organism with a known sensitivity (i.e., it is known how much
of that metal must accumulate on that organism's biotic ligand to cause a
physiological effect in a certain percentage of the population, such as a
20% loss in reproduction or a 50% mortality rate). The second way the BLM
can be used is to estimate the chemical speciation of the metal and other
constituents in water, including estimating the amount of metal accumulated
to an organism's biotic ligand during a toxicity test. In the first
application of the BLM, the amount of metal associated with a toxicity
endpoint, or regulatory limit will be predicted, while in the
second application, the amount of metal is known and the portions of that
metal that exist in various forms will be determined. This version of the
engine has been re-structured to perform the calculations in a different
way that will make it more efficient in R, while also making it more
flexible and easier to maintain in the future. Because of this, it does
not currently match the desktop model exactly, but we hope to improve
this comparability in the future.
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