Skip to content
R package for mark-recapture-distance-sampling analysis
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.
R Check for NA covariate values, thanks to Ana Cañadas for highlighting… Apr 3, 2019
inst whoops, forgot to fix tests... Jun 14, 2017
man spelling corrections Jun 27, 2018
.gitignore Update things to ignore Jun 27, 2018
.travis.yml try mrds with travis+tic May 7, 2018
DESCRIPTION fixed bug in calculation of goodness of fit p-values. Previous method… Oct 9, 2017
LICENSE add LICENSE file Feb 7, 2017
NAMESPACE hessian now returned when solnp (constrained optimisation) is used to… Oct 8, 2018
NEWS Check for NA covariate values, thanks to Ana Cañadas for highlighting… Apr 3, 2019 working travis badge? May 7, 2018
mrds.Rproj spelling corrections Jun 27, 2018

mrds - Mark-Recapture Distance Sampling

Build Status CRAN (RStudio Mirror) Downloads CRAN Version Coverage Status

What is mrds?

This package for R analyzes single or double observer distance sampling data for line or point sampling. It is used in program DISTANCE as one of the analysis engines. Supported double observer configurations include independent, trial and removal. All options in mrds are not yet fully supported via DISTANCE.

Getting mrds

The easiest way to ensure you have the latest version of mrds, is to install Hadley Wickham's devtools package:


then install mrds from github:



  • One can download a Windows package binary using the "Releases" tab in github. To install in R, from the R menu, use "Packages\Install from Local Zip file" and browse to location of downloaded zip.
  • Or, download package source files.
  • Finally the current stable version of mrds is available on CRAN, though this may be up to a month out of date due to CRAN policy.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. Jenking and T. A. Marques. (2014). "Using mark-recapture distance sampling methods on line transect surveys." Methods in Ecology and Evolution 5: 1180-1191.

Buckland, S. T., J. Laake, et al. (2010). "Double observer line transect methods: levels of independence." Biometrics 66: 169-177.

Borchers, D. L., J. L. Laake, et al. (2006). "Accommodating unmodeled heterogeneity in double-observer distance sampling surveys." Biometrics 62(2): 372-378.

Buckland, S. T., D. R. Anderson, et al., Eds. (2004). Advanced distance sampling: estimating abundance of biological populations. Oxford, UK; New York, Oxford University Press. (see chapter 6).

You can’t perform that action at this time.