mrds
R package for mark-recapture-distance-sampling analysis
Science Score: 39.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
-
○Committers with academic emails
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.2%) to scientific vocabulary
Repository
R package for mark-recapture-distance-sampling analysis
Basic Info
Statistics
- Stars: 4
- Watchers: 7
- Forks: 4
- Open Issues: 20
- Releases: 13
Metadata Files
README.md
mrds - Mark-Recapture Distance Sampling
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. Not all options in mrds are fully supported via DISTANCE.
If you only wish to perform a conventional or multiple covariate distance sampling analysis (CDS/MCDS) (as opposed to a double observer analysis), you may want to try the Distance R package, which has a simplified interface and is available from https://github.com/DistanceDevelopment/Distance.
Getting mrds
The easiest way to ensure you have the latest version of mrds, is to install using the remotes package:
install.packages("remotes")
then install mrds from github:
library(remotes)
install_github("DistanceDevelopment/mrds")
Otherwise:
- 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
mrdsis available on CRAN, though this may be up to a month out of date due to CRAN policy.
References
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-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).
Owner
- Name: Distance development
- Login: DistanceDevelopment
- Kind: organization
- Email: distance@st-andrews.ac.uk
- Location: University of St Andrews
- Website: distancesampling.org
- Twitter: DistanceSamp
- Repositories: 24
- Profile: https://github.com/DistanceDevelopment
Distance sampling software development team
GitHub Events
Total
- Issues event: 20
- Delete event: 4
- Issue comment event: 40
- Push event: 33
- Pull request event: 11
- Create event: 5
Last Year
- Issues event: 20
- Delete event: 4
- Issue comment event: 40
- Push event: 33
- Pull request event: 11
- Create event: 5
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| David Lawrence Miller | g****b@n****t | 561 |
| Laura Marshall | L****l@y****k | 95 |
| Jeff Laake | j****e@g****m | 85 |
| David Lawrence Miller | d****e@n****t | 61 |
| erex | e****l@g****m | 3 |
| DL Miller | d****l | 2 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 90
- Total pull requests: 19
- Average time to close issues: 7 months
- Average time to close pull requests: about 1 month
- Total issue authors: 12
- Total pull request authors: 2
- Average comments per issue: 2.59
- Average comments per pull request: 1.63
- Merged pull requests: 16
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 3
- Average time to close issues: about 1 month
- Average time to close pull requests: 11 days
- Issue authors: 2
- Pull request authors: 1
- Average comments per issue: 1.6
- Average comments per pull request: 0.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- erex (28)
- LHMarshall (22)
- dill (14)
- lenthomas (13)
- jjrob (4)
- fpetersma (3)
- megancatonferguson (2)
- cschwarz-stat-sfu-ca (2)
- jlaake (1)
- zielinskipp (1)
- lindesaysh (1)
- pgiraudoux (1)
Pull Request Authors
- LHMarshall (14)
- dill (8)
- fpetersma (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 1,167 last-month
- Total docker downloads: 43,390
- Total dependent packages: 5
- Total dependent repositories: 14
- Total versions: 28
- Total maintainers: 1
cran.r-project.org: mrds
Mark-Recapture Distance Sampling
- Homepage: https://github.com/DistanceDevelopment/mrds/
- Documentation: http://cran.r-project.org/web/packages/mrds/mrds.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
-
Latest release: 3.0.1
published 12 months ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.0 depends
- Rsolnp * imports
- methods * imports
- mgcv * imports
- numDeriv * imports
- optimx >= 2013.8.6 imports
- covr * suggests
- testthat * suggests
- actions/cache v2 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v1 composite
- r-lib/actions/setup-r v1 composite