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:Daniel J. Laydon, Aaron Sim, Charles R.M. Bangham, Becca Asquith

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'))

Peer review:

Datasets:
  • 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.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 189 downloads 12 mentions 8 exports 10 dependencies

Last updated 1 years agofrom:68307eb703. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winOKNov 07 2024
R-4.5-linuxOKNov 07 2024
R-4.4-winOKNov 07 2024
R-4.4-macOKNov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:CombDMCurvatureDiveMasterDivSampleNumDivSubsamplesFitSingleModPopDiversityScoreSingleMod

Dependencies:codadeSolveFMElatticeMASSminpack.lmminqaRcpprootSolvesp

Readme and manuals

Help Manual

Help pageTopics
Diversity EstimatorDivE-package DivE
Count of Medically Important Bacteria Species in a SampleBact1 Bact2
CombDMCombDM
CurvatureCurvature
DiveMasterDiveMaster print.DiveMaster print.summary.DiveMaster summary.DiveMaster
DivSampleNumDivSampleNum
DivSubsamplesDivSubsamples print.DivSubsamples print.summary.DivSubsamples summary.DivSubsamples
FitSingleModFitSingleMod plot.FitSingleMod print.FitSingleMod print.summary.FitSingleMod summary.FitSingleMod
List of 58 candidate models to fit to dataModelSet
List of 58 sets of upper and lower bounds for models evaluated by DivEParamRanges
List of 58 matrices of model seeding parameters.ParamSeeds
PopDiversityPopDiversity
ScoreSingleModprint.ScoreSingleMod print.summary.ScoreSingleMod ScoreSingleMod summary.ScoreSingleMod