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Bayesian mixing model
2013 Feb 20
0
Bayesian mixing model
...Na2O Al2O3 Topsoils 1.8552515 0.1135672 0.06212094 1.491125 ChannelBanks 9.8400162 0.1401057 0.08599080 2.708710 FieldDrains 2.3896499 0.1961217 0.02545431 4.300644 RoadRunoff 0.7780579 0.1749869 0.02848264 1.116747", header =TRUE) ...and absolute stdev on the target called adssdDat: abssdDat<-read.table(text=" CaO MgO Na2O Al2O3 1 0.877 0.531 0.264 2.439", header=TRUE) Whilst the model results are OK, there is one problem. The model fails to take into consideration covariance between the geochemistry in each source area (Rat) and therefore the uncertaint...