Package: banter 0.9.6

Eric Archer

banter: BioAcoustic eveNT classifiER

Create a hierarchical acoustic event species classifier out of multiple call type detectors as described in Rankin et al (2017) <doi:10.1111/mms.12381>.

Authors:Eric Archer [aut, cre], Taiki Sakai [aut]

banter_0.9.6.tar.gz
banter_0.9.6.tar.gz(r-4.5-noble)banter_0.9.6.tar.gz(r-4.4-noble)
banter_0.9.6.tgz(r-4.4-emscripten)banter_0.9.6.tgz(r-4.3-emscripten)
banter.pdf |banter.html
banter/json (API)

# Install 'banter' in R:
install.packages('banter', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

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

jagscpp

2.27 score 37 scripts 258 downloads 17 exports 77 dependencies

Last updated 2 years agofrom:7640473d51. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linuxNOTENov 29 2024

Exports:addBanterDetectorbanterGuidegetBanterModelgetBanterModelDatagetDetectorNamesgetSampSizeinitBanterModelmodelPctCorrectnumCallsnumEventsplotDetectorTracepredictpropCallsremoveBanterDetectorrunBanterModelsubsampleDetectionssummary

Dependencies:abindclassclassIntcliclueclustercodacolorspacecpp11DBIdeldirdplyre1071fansifarverfBasicsgenericsggplot2ggrepelgluegridExtragssgtableHDIntervaligraphisobandKernSmoothkknnlabelinglatticelifecyclemagrittrMASSMatrixmgcvmodeestmunsellnlmepillarpkgconfigpolyclipproxypurrrR6randomForestRColorBrewerRcpprfPermuterlangrmutilrpartrunjagss2scalessfspatialspatstat.dataspatstat.geomspatstat.univarspatstat.utilsstablestablediststatipstringistringrswfscMisctibbletidyrtidyselecttimeDatetimeSeriesunitsutf8vctrsviridisLitewithrwk

Readme and manuals

Help Manual

Help pageTopics
BioAcoustic EveNT ClassifiERbanter-package banter
Add a BANTER Detector ModeladdBanterDetector removeBanterDetector
BANTER GuidebanterGuide
Extract Random Forest ModelgetBanterModel
Extract Random Forest Model DatagetBanterModelData
Detector NamesgetDetectorNames
Sample SizegetSampSize
Initialize BANTER modelinitBanterModel
Model Percent CorrectmodelPctCorrect
Number and Proportion of CallsnumCalls propCalls
Number of EventsnumEvents
Plot BANTER Detector TracesplotDetectorTrace
Predict BANTER eventspredict predict,banter_model-method predict.banter_model
Run BANTER ModelrunBanterModel
Subsample DetectionssubsampleDetections
BANTER Classifier Model Summarysummary summary,banter_model-method summary.banter_model
Testing events and detectorstest.data
Training events and detectorstrain.data