Description Usage Arguments Details Value Examples
Internally calculates AICc weights and uses them to model average the parameter values output from OUwieParSumm
.
1 | OUwieModelAvg(ou.parameters, OU.only = FALSE, na.rm = TRUE)
|
ou.parameters |
An object of class |
OU.only |
Whether any Brownian motion models should be dropped before model averaging |
na.rm |
Whether to ignore model results with |
na.rm = TRUE
will remove any models where AICc == NA
, but will use other models for model averaging;
na.rm = FALSE
will remove any replicates (rows of the output) with any models where AICc == NA
.
A list with two elements:
Weights |
A data.frame of the AICc weights for each model across the replicates |
Counts |
A named vector giving the number of replicates in which each model has the highest AICc weight |
1 2 | ou.parameters <- OUwieParSumm(ou.results, regime.mat)
OUwieModelAvg(ou.parameters)
|
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