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carcass

Functions for fatality estimations - the actual version of the r-packages carcass

Link to tutorial: http://www.bioone.org/doi/full/10.2981/wlb.00094

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Version

Install

install.packages('carcass')

Monthly Downloads

526

Version

1.7

License

GPL-2

Maintainer

Fraenzi KornerNievergelt

Last Published

October 3rd, 2023

Functions in carcass (1.7)

Carcass detection probability acording to Korner-Nievergelt et al. 2011

search.efficiency

Estimates detection probability per person and visibility classes using a binomial model

Shapeparameters of a beta-distribution from the mean, the lower and upper limit of the 95% confidence or credible interval

Posterior distribution of the number of fatalities based on the number of carcasses found and the probability of finding a carcass.

Carcass detection probability acording to Huso 2010

carcass-package

Estimation of the Number of Fatalities from Carcass Searches

Carcass detection probability acording to Erickson et al. 2004

Distribution of bat carcasses below wind turbines

Times until removal for brown mice carcasses

Confidence interval for the functions ettersonEq14, ettersonEq14v1 and ettersonEq14v2

Equation 14 of Etterson (2013) Ecological Applications 23, 1915-1925, adapted so that persistence probability and searcher efficiency can vary with age of the carcass

Equation 14 of Etterson (2013) Ecological Applications 23, 1915-1925

Estimation of number of killed animals based on carcass searches and estimates for detection probability

Equation 14 of Etterson (2013) Ecological Applications 23, 1915-1925, adapted so that persistence probability and searcher efficiency can vary with calender date

persistence.prob

Estimates carcass persistence probability based on carcass removal experiment data

integrate.persistence

Integrate persistence probability over the discrete time intervals (e.g. days) to account for constant arrival of carcasses

Data of a searcher efficiency trial