Package: DivE 1.3
DivE: Diversity Estimator
Contains functions for the 'DivE' estimator <doi:10.1371/journal.pcbi.1003646>. The 'DivE' estimator is a heuristic approach to estimate the number of classes or the number of species (species richness) in a population.
Authors:
DivE_1.3.tar.gz
DivE_1.3.zip(r-4.5)DivE_1.3.zip(r-4.4)DivE_1.3.zip(r-4.3)
DivE_1.3.tgz(r-4.4-any)DivE_1.3.tgz(r-4.3-any)
DivE_1.3.tar.gz(r-4.5-noble)DivE_1.3.tar.gz(r-4.4-noble)
DivE_1.3.tgz(r-4.4-emscripten)DivE_1.3.tgz(r-4.3-emscripten)
DivE.pdf |DivE.html✨
DivE/json (API)
# Install 'DivE' in R: |
install.packages('DivE', repos = c('https://dlaydon.r-universe.dev', 'https://cloud.r-project.org')) |
- Bact1 - Count of Medically Important Bacteria Species in a Sample
- ModelSet - List of 58 candidate models to fit to data
- ParamRanges - List of 58 sets of upper and lower bounds for models evaluated by DivE
- ParamSeeds - List of 58 matrices of model seeding parameters.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:68307eb703. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 07 2024 |
R-4.5-win | OK | Nov 07 2024 |
R-4.5-linux | OK | Nov 07 2024 |
R-4.4-win | OK | Nov 07 2024 |
R-4.4-mac | OK | Nov 07 2024 |
R-4.3-win | OK | Nov 07 2024 |
R-4.3-mac | OK | Nov 07 2024 |
Exports:CombDMCurvatureDiveMasterDivSampleNumDivSubsamplesFitSingleModPopDiversityScoreSingleMod
Dependencies:codadeSolveFMElatticeMASSminpack.lmminqaRcpprootSolvesp
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Diversity Estimator | DivE-package DivE |
Count of Medically Important Bacteria Species in a Sample | Bact1 Bact2 |
CombDM | CombDM |
Curvature | Curvature |
DiveMaster | DiveMaster print.DiveMaster print.summary.DiveMaster summary.DiveMaster |
DivSampleNum | DivSampleNum |
DivSubsamples | DivSubsamples print.DivSubsamples print.summary.DivSubsamples summary.DivSubsamples |
FitSingleMod | FitSingleMod plot.FitSingleMod print.FitSingleMod print.summary.FitSingleMod summary.FitSingleMod |
List of 58 candidate models to fit to data | ModelSet |
List of 58 sets of upper and lower bounds for models evaluated by DivE | ParamRanges |
List of 58 matrices of model seeding parameters. | ParamSeeds |
PopDiversity | PopDiversity |
ScoreSingleMod | print.ScoreSingleMod print.summary.ScoreSingleMod ScoreSingleMod summary.ScoreSingleMod |