Package: RSE 1.3
RSE: Number of Newly Discovered Rare Species Estimation
A Bayesian-weighted estimator and two unweighted estimators are developed to estimate the number of newly found rare species in additional ecological samples. Among these methods, the Bayesian-weighted estimator and an unweighted (Chao-derived) estimator are of high accuracy and recommended for practical applications. Technical details of the proposed estimators have been well described in the following paper: Shen TJ, Chen YH (2018) A Bayesian weighted approach to predicting the number of newly discovered rare species. Conservation Biology, In press.
Authors:
RSE_1.3.tar.gz
RSE_1.3.zip(r-4.7)RSE_1.3.zip(r-4.6)RSE_1.3.zip(r-4.5)
RSE_1.3.tgz(r-4.6-any)RSE_1.3.tgz(r-4.5-any)
RSE_1.3.tar.gz(r-4.7-any)RSE_1.3.tar.gz(r-4.6-any)
RSE_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RSE/json (API)
| # Install 'RSE' in R: |
| install.packages('RSE', repos = c('https://youhuachen.r-universe.dev', 'https://cloud.r-project.org')) |
- CanadaMite - Mite incidence in moss patches of 32 locations of western Canada
- HerpetologicalData - Abundance of herpetofauna in the conserved and human disturbed areas of Mexico
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6a9ab901da. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 91 | ||
| source / vignettes | OK | 121 | ||
| linux-release-x86_64 | OK | 96 | ||
| macos-release-arm64 | OK | 141 | ||
| macos-oldrel-arm64 | OK | 157 | ||
| windows-devel | OK | 58 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 62 | ||
| wasm-release | OK | 92 |
Exports:boot.abundance.funboot.incidence.funDetAbuDetIncf.to.XPred.abundance.rarePred.Fk.BWPred.Fk.NaivePred.Fk.unweightedPred.incidence.rarePred.Qk.BWPred.Qk.NaivePred.Qk.unweightedSpEst.Chao1.abunX.to.f
Dependencies:
