tcplAICProb Calculates the probability that the model best represents
the data based on the AIC value for each model.
Numeric vectors of AIC values
The function takes vectors of AIC values. Each vector represents the model AIC values for multiple observation sets. Each vector must contain the same number and order of observation sets. The calculation assumes every possible model is accounted for, and the results should be interpreted accordingly.
A vector of probability values for each model given, as a list.
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## Returns the probability for each model, given models with AIC values ## ranging from 80 to 100 tcplAICProb(80, 85, 90, 95, 100) ## Also works for vectors m1 <- c(95, 195, 300) ## model 1 for three different observations m2 <- c(100, 200, 295) ## model 2 for three different observations tcplAICProb(m1, m2)
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