get_consensus_cutoff: Returns the consensus cutoff to use based on a given models...
In philliplab/MotifBinner2: Processes NGS Primer ID Datasets

This function will find the model that matches your input parameters and use it to predict the appropriate consensus cutoff for your dataset

1	get_consensus_cutoff(pl, main_offspring_size, models, phi = 1/50)

`pl`	PID length (9)
`main_offspring_size`	The size of the largest bin in the dataset produced by the binner. NB! This must be the size of the bin BEFORE outlier removal
`models`	A data.frame containing the parameters for various models. As produced by build_cutoff_models.
`phi`	Sequencing read error rate (1/50)