Description Usage Arguments Value Author(s)
This function will allow you to run the bootstrap implemented as part of 'Resistance.Optimization' independently
1 | Optim.Boot(boot.iters = 10000, Optim.input, Sample_Proportion = 0.75)
|
Optim.input |
This is the object created from running 'Optim.prep' |
boot.iters |
Number of bootstrap iterations to conduct. Default = 10,000 |
Sample_Proportion |
The proportion of samples to subsample in each bootstrap iteration. Default = 0.75 |
This function will generate two .csv files. 1) Boot_ModelSelection_Freq.csv will contain the summary of how often a given was the top model 2) Boot_AvgRank_summary.csv will contain the average model rank of each model
Bill Peterman
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