sequential.estimateN: Sequential estimate N

In AMBarbosa/DeadCanMove: Assess How Spatial Roadkill Patterns Change with Temporal Sampling Scheme

Description

This function estimates the actual numbers of animal casualties given the observed numbers and a set of estimators, sequentially for all given submats. Requires package carcass.

Usage

sequential.estimateN(submats, submats.N, first.subsampl.col, 
region.column, persist, effic, estimators = c("korner", "huso", 
"erickson", "etterson"), margin = 0.05, ...)

Arguments

submats	result of the sequential.submatrix function.
submats.N	result of the sequential.Nevents function.
first.subsampl.col	index number of the first column containing the (sub)sampling data in submats
region.column	name or index number of the column containing the regions (road segments, sites) to classify as hotspots or non-hotspots
persist	named vector of persistence per group; group names must match those in the data
effic	named vector of detection efficiency per group; group names must match those in the data
estimators	character vector of the estimator(s) to use. The default is all estimators available.
margin	proportion of each estimator to subtract from and add to it in order to get p.lower and p.upper, respectively, when using function estimateN in package carcass
...	currently not in use

Value

This function returns a list.

Note

This function currently works only for submats created with 'window.size' and 'gap.size', not with 'sampl.interval'. See submatrix, sequential.submatrix, and check that your names(submats) are something like "group.w1.g2.s1" and not "group.intv1".

Author(s)

A. Marcia Barbosa, J. Tiago Marques, Sara Santos

See Also

function estimateN in package carcass

AMBarbosa/DeadCanMove documentation built on Nov. 3, 2021, 10:03 a.m.