Package: SPECIES 1.2.0
SPECIES: Statistical Package for Species Richness Estimation
Implementation of various methods in estimation of species richness or diversity in Wang (2011)<doi:10.18637/jss.v040.i09>.
Authors:
SPECIES_1.2.0.tar.gz
SPECIES_1.2.0.zip(r-4.5)SPECIES_1.2.0.zip(r-4.4)SPECIES_1.2.0.zip(r-4.3)
SPECIES_1.2.0.tgz(r-4.4-x86_64)SPECIES_1.2.0.tgz(r-4.4-arm64)SPECIES_1.2.0.tgz(r-4.3-x86_64)SPECIES_1.2.0.tgz(r-4.3-arm64)
SPECIES_1.2.0.tar.gz(r-4.5-noble)SPECIES_1.2.0.tar.gz(r-4.4-noble)
SPECIES_1.2.0.tgz(r-4.4-emscripten)SPECIES_1.2.0.tgz(r-4.3-emscripten)
SPECIES.pdf |SPECIES.html✨
SPECIES/json (API)
NEWS
# Install 'SPECIES' in R: |
install.packages('SPECIES', repos = c('https://jipingw.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:13bb337058. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win-x86_64 | OK | Nov 23 2024 |
R-4.5-linux-x86_64 | OK | Nov 23 2024 |
R-4.4-win-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-x86_64 | OK | Nov 23 2024 |
R-4.4-mac-aarch64 | OK | Nov 23 2024 |
R-4.3-win-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-x86_64 | OK | Nov 23 2024 |
R-4.3-mac-aarch64 | OK | Nov 23 2024 |
Exports:chao1984ChaoBungeChaoLee1992jackknifepcgpnpmleunpmle
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
An R pacakge for species richness estimation | SPECIES-package SPECIES |
Fisher's butterfly data | butterfly |
Lower-bound estimator for species richness | chao1984 |
Coverage-duplication estimator for species richness | ChaoBunge |
Coverage-based estimators for species richness | ChaoLee1992 |
Cottontail data | cottontail |
EST data | EST |
Insects data | insects |
Jackknife estimator for the species richness | jackknife |
Microbial species data | microbial |
Poisson-compound Gamma estimator for the species richness | pcg |
Penalized conditional NPML estimator for species richness | pnpmle |
Traffic data | traffic |
Unconditional NPML estimator for the SPECIES number | unpmle |