mrds?This package for R analyzes single or double observer distancesampling data for line or point sampling. It is used in programDISTANCE as one of the analysisengines. Supported double observer configurations include independent,trial and removal. Not all options in mrds are fully supported viaDISTANCE.
If you only wish to perform a conventional or multiple covariatedistance sampling analysis (CDS/MCDS) (as opposed to a double observeranalysis), you may want to try theDistance R package,which has a simplified interface and is available fromhttps://github.com/DistanceDevelopment/Distance.
mrdsThe easiest way to ensure you have the latest version ofmrds, is to install using theremotespackage:
install.packages("remotes")then installmrds from github:
library(remotes) install_github("DistanceDevelopment/mrds")Otherwise:
mrds isavailable on CRAN,though this may be up to a month out of date due to CRAN policy.The following are references for the methods used in the package.
Burt, M. L., D. L. Borchers, K. J. Jenkins and T. A. Marques. (2014).“Using mark-recapturedistance sampling methods on line transect surveys.” Methods inEcology and Evolution 5: 1180-1191.
Buckland, S. T., J. Laake, et al. (2010). “Double observer linetransect methods: levels of independence.” Biometrics 66: 169-177.
Borchers, D. L., J. L. Laake, et al. (2006). “Accommodating unmodeledheterogeneity in double-observer distance sampling surveys.” Biometrics62(2): 372-378.
Buckland, S. T., D. R. Anderson, et al., Eds. (2004). Advanceddistance sampling: estimating abundance of biological populations.Oxford, UK; New York, Oxford University Press. (see chapter 6).