pime.oob.replicate: Replicated random forests
In microEcology/pime: Prevalence Interval for Microbiome Evaluation

This function is part of the error detection step. It performs a random forests classification, with ranger, and computes the OOB error for n replications in each prevalence interval without randomizing the sample labels. Returns a results table with prediction error and a boxplot.

1	pime.oob.replicate(prev.list, variable, bootstrap, parallel = TRUE)

`prev.list`	List of phyloseq objects. Output of `pime.prevalence`
`variable`	Variable to run the model
`bootstrap`	Number to run repetitions
`parallel`	Whether to run parallel or not. Default TRUE

phylist=pime.split.by.variable(restroom, "Environment")
prevalences=pime.prevalence(phylist)
set.seed(42)
tab=pime.oob.replicate(prevalences, "Environment", bootstrap=10, parallel=TRUE)
tab$Plot
tab$'Results table'