boostr: A modular framework to bag or boost any estimation procedure.

boostr provides a modular framework that return the focus of ensemble learning back to 'learning' (instead of programming).

Install the latest version of this package by entering the following in R:
install.packages("boostr")
AuthorSteven Pollack <steven@pollackphoto.net>
Date of publication2014-05-17 11:02:44
MaintainerSteven Pollack <steven@pollackphoto.net>
LicenseGPL-2
Version1.0.0

View on CRAN

Man pages

adaboostAggregator: Aggregator for the Adaboost.M1 algorithm

adaboostReweighter: Reweighter function for the Adaboost.M1 algorithm

addDots: Extend a function's signature to include '...'

arcfsAggregator: Aggregator for the arc-fs algorithm.

arcfsReweighter: Reweighter for the arc-fs algorithm.

arcx4Reweighter: Reweighter for the arc-x4 algorithm.

boost: Boost an Estimation Procedure with a Reweighter and an...

boostBackend: Boost an estimation procedure with a reweighter and...

boostr: Boost (or bag) an estimation procedure with any reweighter or...

boostWith: Boostr implemented versions of arc-fs, arc-x4 and AdaBoost.

buildEstimationProcedure: Build a boostr compatible estimation procedure.

defaultOOBPerformanceAnalysis: Perform generic out-of-bag error analysis.

extractionFunctions: Extraction functions for boostr object attributes

isClassConstructor: check if a function is a(n S3) class constructor

kFoldCV: Generic k-fold Cross Validation wrapper

makePredictions: Gather predictions from an ensemble of estimators.

predictClassViaVoting: Predict a class using (un)weighted voting.

predictResponseFromWeightedAverage: Predict a numeric response using (un)weighted averaging.

stockAggregators: Stock aggregators

vanillaBagger: Standard (vanilla) bagging procedure.

wrapAggregator: Create a boostr compatible wrapper for an aggregator.

wrapPerformanceAnalyzer: Create a boostr compatible wrapper for a performance...

wrapProcedure: Create a boostr compatible wrapper for an estimation...

wrapReweighter: Create a boostr compatible wrapper for a reweighter.

Functions

adaboostAggregator Man page
adaboostReweighter Man page
addDots Man page
aggregatorArgs Man page
analyzePerformanceArgs Man page
arcfsAggregator Man page
arcfsReweighter Man page
arcx4Aggregator Man page
arcx4Reweighter Man page
boost Man page
boostBackend Man page
boost.function Man page
boost.list Man page
boostr Man page
boostr-package Man page
boostWithAdaBoost Man page
boostWithArcFs Man page
boostWithArcX4 Man page
buildEstimationProcedure Man page
defaultOOBPerformanceAnalysis Man page
ensembleEstimators Man page
estimationProcedureArgs Man page
estimatorPerformance Man page
extractAggregator Man page
extractAnalyzePerformance Man page
extractCalcBoostrPerformance Man page
extractData Man page
extractEstimationProcedure Man page
extractFormatData Man page
extractInitialWeights Man page
extractPerformanceOnLearningSet Man page
extractReweighter Man page
extractSubsetFormula Man page
isClassConstructor Man page
kFoldCV Man page
makePredictions Man page
oobVec Man page
predictClassFromVote Man page
predictClassFromWeightedVote Man page
predictResponseFromWeightedAverage Man page
reweighterArgs Man page
reweighterOutput Man page
vanillaAggregator Man page
vanillaBagger Man page
weightedAggregator Man page
wrapAggregator Man page
wrapPerformanceAnalyzer Man page
wrapProcedure Man page
wrapReweighter Man page

Files

inst
inst/examples
inst/examples/test-boost_examples.R
inst/tests
inst/tests/test-wrapAggregator.R inst/tests/test-wrapPerformanceAnalyzer.R inst/tests/test-wrapReweighter.R inst/tests/test-kFoldCV.R inst/tests/test-wrapProcedure.R inst/tests/test-boostBackend.R inst/tests/test-buildEstimationProcedure.R inst/tests/test-boost_function.R inst/tests/test-implemented_reweighters.R inst/tests/test-addDots.R inst/tests/helper-constants.R inst/tests/test-boost_list.R
inst/doc
inst/doc/boostr_user_inputs.R
inst/doc/boostr_user_inputs.html
inst/doc/boostr_user_inputs.Rmd
inst/doc/brief_intro_to_booster.Rmd
inst/doc/brief_intro_to_booster.html
inst/doc/brief_intro_to_booster.R
NAMESPACE
R
R/weightedAggregator.R R/boostWith.R R/print_boostrWrapper.R R/onLoad.R R/kFoldCV.R R/arcfsAggregator.R R/arcfsReweighter.R R/arcx4Aggregator.R R/vanillaBagger.R R/makePredictions.R R/boostBackend.R R/boostr-package.r R/addDots.R R/adaboostReweighter.R R/wrapPerformanceAnalyzer.R R/extractionFunctions.R R/defaultOOBPerformanceAnalysis.R R/print_boostr.R R/boost.R R/wrapProcedure.R R/buildEstimationProcedure.R R/wrapReweighter.R R/vanillaAggregator.R R/adaboostAggregator.R R/wrapAggregator.R R/isClassConstructor.R R/arcx4Reweighter.R R/predictClassFromWeightedVote.R R/predictResponseFromWeightedAverage.R
vignettes
vignettes/boostr_user_inputs.Rmd
vignettes/brief_intro_to_booster.Rmd
MD5
build
build/vignette.rds
DESCRIPTION
man
man/defaultOOBPerformanceAnalysis.Rd man/boost.Rd man/isClassConstructor.Rd man/arcfsAggregator.Rd man/wrapReweighter.Rd man/wrapAggregator.Rd man/adaboostAggregator.Rd man/buildEstimationProcedure.Rd man/arcfsReweighter.Rd man/stockAggregators.Rd man/boostr.Rd man/predictClassViaVoting.Rd man/boostWith.Rd man/extractionFunctions.Rd man/vanillaBagger.Rd man/kFoldCV.Rd man/makePredictions.Rd man/predictResponseFromWeightedAverage.Rd man/adaboostReweighter.Rd man/addDots.Rd man/boostBackend.Rd man/wrapProcedure.Rd man/wrapPerformanceAnalyzer.Rd man/arcx4Reweighter.Rd
.Rinstignore

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.