process.bootstrap.results: Summarises the bootstrap results.

In mads: Multi-Analysis Distance Sampling

Description

Creates summary statistics for each species. These consist of dataframes relating to summaries, abundance (N) and density (D) for both individuals and clusters. In addition, summary statistics for expected cluster size (Expected.S) are also calculated.

Usage

process.bootstrap.results(
  bootstrap.results,
  model.index,
  clusters,
  bootstrap.ddf.statistics,
  quantile.type,
  analysis.options = list(bootstrap, n, covariate.uncertainty, clusters,
    double.observer, unidentified.species, species.code.definitions, model.names)
)

Arguments

bootstrap.results	list of arrays containing results from the repeated analyses.
model.index	named character vector which acts as a look up table for duplicate detection function models.
clusters	boolean whether observations are clusters of individuals
bootstrap.ddf.statistics	array storing parameter estimates from ddf models
quantile.type	numeric value describing which quantile algorithm to use
analysis.options	list describing the type of analysis carried out

Value

ma object a list of summary statistics for each species

Note

Internal functions not intended to be called by user.

Author(s)

Laura Marshall

mads documentation built on July 2, 2020, 2:12 a.m.