sequential.posteriorN: Sequential posterior N

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

Description

Applies function posteriorN of package carcass sequentially to a given set of submatrices, to estimate the number of (roadkill mortality) events based on Bayes' theorem using up to four different estimators (Korner-Nievergelt et al. 2015)

Usage

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

Arguments

submats	a list of submatrices resulting from function sequential.submatrix
submats.N	a list of submatrices resulting from function sequential.Nevents
first.subsampl.col	index number of the first column containing subsampling data
region.column	name or index number of the column containing the regions (road sectors, sites) to classify as hotspots or non-hotspots
persist	named numeric vector of persistence probability per group; names must match the names of groups in the data
effic	named numeric vector of detection efficiency per group; names must match the names of groups in the data
estimators	character vector specifying the estimators to calculate; the default is all available ones
...	additional arguments for function posteriorN in package carcass

Value

This function returns a list

Author(s)

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

References

Korner-Nievergelt F, Behr O, Brinkmann R, Etterson MA, Huso MMP, Dalthorp D, Korner-Nievergelt P, Roth T & Niermann I (2015) Mortality estimation from carcass searches using the R-package carcass: a tutorial. Wildlife Biology 21: 30-43

See Also

sequential.submatrix, sequential.Nevents

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