banter (version 0.9.6)

runBanterModel: Run BANTER Model

Description

Build full event classifier model

Usage

runBanterModel(x, ntree, sampsize = 1)

Value

a banter_model object with the complete BANTER model.

Arguments

x

a banter_model object.

ntree

number of trees.

sampsize

number or fraction of samples to use in each tree.

Author

Eric Archer

References

Rankin, S., Archer, F., Keating, J. L., Oswald, J. N., Oswald, M. , Curtis, A. and Barlow, J. (2017), Acoustic classification of dolphins in the California Current using whistles, echolocation clicks, and burst pulses. Marine Mammal Science 33:520-540. doi:10.1111/mms.12381

Examples

data(train.data)
# initialize BANTER model with event data
bant.mdl <- initBanterModel(train.data$events)
# add all detector models
bant.mdl <- addBanterDetector(
  bant.mdl, train.data$detectors, 
  ntree = 50, sampsize = 1, num.cores = 1
)
# run BANTER event model
bant.mdl <- runBanterModel(bant.mdl, ntree = 1000, sampsize = 1)
summary(bant.mdl)