Calculate model averaged length-at-age estimates and parameters

Source: R/Growth_functions.R

`Calculate_MMI` takes the outputs from an `Estimate_Growth` function with plots = FALSE and returns the calculated model averaged parameters, SE and estimates based on AIC scores. It should be used if no candidate model has an AIC weight higher than 0.9. Use of this function should cite Smart et al (2016)

Calculate_MMI(data)

Arguments

data

An output from the Estimate_Growth function with plots = FALSE

Value

A list with model averaged parameters and a dataframe of model averaged length-at-age estimates

References

Smart et al. (2016) Multi model approaches in shark and ray growth studies: strengths, weaknesses and the future. Fish and Fisheries. 17: 955-971https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12154