single_fct_subsets: Supplemental method: single FCT subset estimates

In statdivlab/rre: Replicate Richness Estimator

Description

Divide the list of FCT into single FCT subsets, then compare those estimates using variance, cv, or gini coefficient.

Usage

single_fct_subsets(fct_list, lambda_vec = seq(0, 20, by = 2),
  starts = data.frame(alpha = c(0.01, 0.01), delta = c(0.01, 1e-04)),
  metric = "variance", ...)

Arguments

fct_list	A list of frequency count tables, assumed to be replicates.
lambda_vec	The values of the penalty parameter we will train over.
starts	Starting values for alpha and delta in the MLE procedure.
metric	A string which is "variance", "cv", "index_of_dispersion" or "gini"

Details

This method was explored after the paper was written and simulations completed as a suggested vairant to minimum_subset_distance()

Examples

single_fct_subsets(nb_fct_simulation(100, 0.1, 0.1))

statdivlab/rre documentation built on Nov. 5, 2019, 9:20 a.m.