unregularized_mle: Method 0: Unregularized MLE
In statdivlab/rre: Replicate Richness Estimator

Description Usage Arguments Details Examples

Maximum likelihood estimate without regularization.

1 2	unregularized_mle(fct_list, starts = data.frame(alpha = c(0.01, 0.01), delta = c(0.01, 1e-04)), multiplier = 20, c_seq_len = 96, ...)

`fct_list`	A list of frequency count tables, assumed to be biological replicates.
`starts`	Starting values for `alpha` and `delta` in the MLE procedure.
`multiplier`	The upper bound of the grid of candidate C values, stated in terms of a multiple of the maximum observed richess (c). For example if c is 50 and multiplier is 10, the method evaluates the likelihood in a C grid from 50 to 500.
`c_seq_len`	The number of points in the C grid search.

This is used as the comparison point for our tuning proposals and amounts to a wrapper for direct_optimise_replicates. The output selected_lambda is always NA for this method, but we format in this way for consistency with methods 1-4.