fixed_lambda_mle: Optimizing the likelihood with a fixed lambda value
In statdivlab/rre: Replicate Richness Estimator

A wrapper function for direct_optimise_replicates to standarize output for simulations.

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fixed_lambda_mle(fct_list, starts = data.frame(alpha = c(0.01, 0.01),
  delta = c(0.01, 1e-04)), lambda = 0, multiplier = 20,
  c_seq_length = 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.
`lambda`	The fixed lambda value to run the MLE procedure with.
`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.