JOUSBoost: Implements Under/Oversampling for Probability Estimation

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Implements under/oversampling for probability estimation. To be used with machine learning methods such as adaBoost, random forests, etc.

Author
Matthew Olson [aut, cre]
Date of publication
2016-09-12 20:55:01
Maintainer
Matthew Olson <maolson@wharton.upenn.edu>
License
MIT + file LICENSE
Version
1.0.0

View on CRAN

Man pages

adaBoost
AdaBoost Classifier
circle_data
Simulate data from the circle model.
friedman_data
Simulate data from the Friedman model
grid_probs
Function to compute predicted quantiles
index_over
Return indices to be used for jittered data in oversampling
index_under
Return indices to be used in original data for undersampling
jous
Jittering with Over/Under Sampling
JOUSBoost
JOUSBoost: A package for probability estimation
predict.AdaBoost
Create predictions from AdaBoost fit
predict.JOUS
Create predictions
print.AdaBoost
Print a summary of adaBoost fit.
sonar
Dataset of sonar measurements of rocks and mines

Files in this package

JOUSBoost
JOUSBoost/src
JOUSBoost/src/grid_probs.cpp
JOUSBoost/src/RcppExports.cpp
JOUSBoost/NAMESPACE
JOUSBoost/data
JOUSBoost/data/sonar.rda
JOUSBoost/R
JOUSBoost/R/simulation.R
JOUSBoost/R/JOUSBoost.R
JOUSBoost/R/jous.R
JOUSBoost/R/RcppExports.R
JOUSBoost/R/adaBoost.R
JOUSBoost/R/jous_utility.R
JOUSBoost/README.md
JOUSBoost/MD5
JOUSBoost/DESCRIPTION
JOUSBoost/man
JOUSBoost/man/circle_data.Rd
JOUSBoost/man/JOUSBoost.Rd
JOUSBoost/man/print.AdaBoost.Rd
JOUSBoost/man/index_under.Rd
JOUSBoost/man/sonar.Rd
JOUSBoost/man/predict.JOUS.Rd
JOUSBoost/man/friedman_data.Rd
JOUSBoost/man/grid_probs.Rd
JOUSBoost/man/index_over.Rd
JOUSBoost/man/adaBoost.Rd
JOUSBoost/man/jous.Rd
JOUSBoost/man/predict.AdaBoost.Rd
JOUSBoost/LICENSE