Package: mrds 3.0.0
mrds: Mark-Recapture Distance Sampling
Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Authors:
mrds_3.0.0.tar.gz
mrds_3.0.0.tar.gz(r-4.5-noble)mrds_3.0.0.tar.gz(r-4.4-noble)
mrds_3.0.0.tgz(r-4.4-emscripten)mrds_3.0.0.tgz(r-4.3-emscripten)
mrds.pdf |mrds.html✨
mrds/json (API)
NEWS
# Install 'mrds' in R: |
install.packages('mrds', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/distancedevelopment/mrds/issues
- book.tee.data - Golf tee data used in chapter 6 of Advanced Distance Sampling examples
- lfbcvi - Black-capped vireo mark-recapture distance sampling analysis
- lfgcwa - Golden-cheeked warbler mark-recapture distance sampling analysis
- pronghorn - Pronghorn aerial survey data from Wyoming
- ptdata.distance - Single observer point count data example from Distance
- ptdata.dual - Simulated dual observer point count data
- ptdata.removal - Simulated removal observer point count data
- ptdata.single - Simulated single observer point count data
- stake77 - Wooden stake data from 1977 survey
- stake78 - Wooden stake data from 1978 survey
Last updated 6 days agofrom:55b6b455ee. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 24 2024 |
R-4.5-linux | OK | Oct 24 2024 |
Exports:add_df_covar_lineadd.df.covar.lineassign.parcheck.monocreate.binscreate.ddfobjddfddf.gofDeltaMethoddet.tablesdetfctdhtdht.sep_dist_tablep.dist.tableqqplot.ddfsolvecovvarn
Dependencies:latticeMatrixmgcvnlmenloptrnumDerivoptimxpracmaRsolnptruncnorm