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
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RSE.pdf |RSE.html✨
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 6 years agofrom:6a9ab901da. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 17 2024 |
| R-4.5-win | OK | Oct 17 2024 |
| R-4.5-linux | OK | Oct 17 2024 |
| R-4.4-win | OK | Oct 17 2024 |
| R-4.4-mac | OK | Oct 17 2024 |
| R-4.3-win | OK | Oct 17 2024 |
| R-4.3-mac | OK | Oct 17 2024 |
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:
