ipred: Improved Predictors
Version 0.9-6

Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.

AuthorAndrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]
Date of publication2017-03-01 14:11:18
MaintainerTorsten Hothorn <Torsten.Hothorn@R-project.org>
LicenseGPL (>= 2)
Version0.9-6
Package repositoryView on R-Forge
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ipred", repos="http://R-Forge.R-project.org")

Popular man pages

bagging: Bagging Classification, Regression and Survival Trees
control.errorest: Control Error Rate Estimators
dystrophy: Detection of muscular dystrophy carriers.
errorest: Estimators of Prediction Error
ipredknn: k-Nearest Neighbour Classification
kfoldcv: Subsamples for k-fold Cross-Validation
mypredict.lm: Predictions Based on Linear Models
See all...

All man pages Function index File listing

Man pages

bagging: Bagging Classification, Regression and Survival Trees
bootest: Bootstrap Error Rate Estimators
control.errorest: Control Error Rate Estimators
cv: Cross-validated Error Rate Estimators.
DLBCL: Diffuse Large B-Cell Lymphoma
dystrophy: Detection of muscular dystrophy carriers.
errorest: Estimators of Prediction Error
GlaucomaMVF: Glaucoma Database
inbagg: Indirect Bagging
inclass: Indirect Classification
ipred-internal: Internal ipred functions
ipredknn: k-Nearest Neighbour Classification
kfoldcv: Subsamples for k-fold Cross-Validation
mypredict.lm: Predictions Based on Linear Models
predict.bagging: Predictions from Bagging Trees
predict.inbagg: Predictions from an Inbagg Object
predict.inclass: Predictions from an Inclass Object
predict.ipredknn: Predictions from k-Nearest Neighbors
predict.slda: Predictions from Stabilised Linear Discriminant Analysis
print.bagging: Print Method for Bagging Trees
print.cvclass: Print Method for Error Rate Estimators
print.inbagg: Print Method for Inbagg Object
print.inclass: Print Method for Inclass Object
prune.bagging: Pruning for Bagging
rsurv: Simulate Survival Data
sbrier: Model Fit for Survival Data
slda: Stabilised Linear Discriminant Analysis
Smoking: Smoking Styles
summary.bagging: Summarising Bagging
summary.inbagg: Summarising Inbagg
summary.inclass: Summarising Inclass
varset: Simulation Model

Functions

DLBCL Man page
GlaucomaMVF Man page
Smoking Man page
bagging Man page Source code
bagging.data.frame Man page Source code
bagging.default Man page Source code
bootest Man page Source code
bootest.Surv Man page Source code
bootest.default Man page Source code
bootest.factor Man page Source code
bootest.integer Man page Source code
bootest.numeric Man page Source code
checkfunArgs Source code
control.errorest Man page Source code
csurv Source code
cv Man page Source code
cv.Surv Man page Source code
cv.default Man page Source code
cv.factor Man page Source code
cv.integer Man page Source code
cv.numeric Man page Source code
dystrophy Man page
errorest Man page Source code
errorest.data.frame Man page Source code
errorest.default Man page Source code
errorestinclass Source code
foo Source code
getpartition Source code
getsurv Man page Source code
inbagg Man page Source code
inbagg.data.frame Man page Source code
inbagg.default Man page Source code
inclass Man page Source code
inclass.data.frame Man page Source code
inclass.default Man page Source code
ipredbagg Man page Source code
ipredbagg.Surv Man page Source code
ipredbagg.default Man page Source code
ipredbagg.factor Man page Source code
ipredbagg.integer Man page Source code
ipredbagg.numeric Man page Source code
ipredknn Man page Source code
irpart Source code
kfoldcv Man page Source code
mypredict.lm Man page Source code
predict.classbagg Man page Source code
predict.inbagg Man page Source code
predict.inclass Man page Source code
predict.ipredknn Man page Source code
predict.irpart Source code
predict.regbagg Man page Source code
predict.sclass Source code
predict.slda Man page Source code
predict.sreg Source code
predict.survbagg Man page Source code
print Man page
print.bootestclass Man page Source code
print.bootestreg Man page Source code
print.bootestsurv Man page Source code
print.classbagg Man page Source code
print.cvclass Man page Source code
print.cvreg Man page Source code
print.cvsurv Man page Source code
print.inbagg Man page Source code
print.inclass Man page Source code
print.regbagg Man page Source code
print.summary.bagging Man page Source code
print.summary.inbagg Man page Source code
print.summary.inclass Man page Source code
print.survbagg Man page Source code
prune.classbagg Man page Source code
prune.regbagg Man page Source code
prune.survbagg Man page Source code
rsurv Man page Source code
sbrier Man page Source code
slda Man page Source code
slda.default Man page Source code
slda.factor Man page Source code
slda.formula Man page Source code
ssubset Source code
summary.classbagg Man page Source code
summary.inbagg Man page Source code
summary.inclass Man page Source code
summary.regbagg Man page Source code
summary.survbagg Man page Source code
uwhich.max Source code
varset Man page Source code
workhorse Source code
workhorse.inbagg Source code
workhorse.inclass Source code

Files

DESCRIPTION
NAMESPACE
R
R/bagging.R
R/bootest.R
R/checkfunArgs.R
R/csurv.R
R/cv.R
R/errorest.R
R/inbagg.R
R/inclass.R
R/ipredbagg.R
R/ipredknn.R
R/irpart.R
R/kfoldcv.R
R/mypredict.lm.R
R/predict.bagging.R
R/predict.inbagg.R
R/predict.inclass.R
R/predict.irpart.R
R/print.R
R/prune.bagging.R
R/rsurv.R
R/sbrier.R
R/slda.R
R/ssubset.R
R/varset.R
build
build/vignette.rds
cleanup
data
data/DLBCL.rda
data/GlaucomaMVF.rda
data/Smoking.rda
data/dystrophy.rda
inst
inst/COPYRIGHTS
inst/NEWS
inst/doc
inst/doc/ipred-examples.R
inst/doc/ipred-examples.Rnw
inst/doc/ipred-examples.pdf
man
man/DLBCL.Rd
man/GlaucomaMVF.Rd
man/Smoking.Rd
man/bagging.Rd
man/bootest.Rd
man/control.errorest.Rd
man/cv.Rd
man/dystrophy.Rd
man/errorest.Rd
man/inbagg.Rd
man/inclass.Rd
man/ipred-internal.Rd
man/ipredknn.Rd
man/kfoldcv.Rd
man/mypredict.lm.Rd
man/predict.bagging.Rd
man/predict.inbagg.Rd
man/predict.inclass.Rd
man/predict.ipredknn.Rd
man/predict.slda.Rd
man/print.bagging.Rd
man/print.cvclass.Rd
man/print.inbagg.Rd
man/print.inclass.Rd
man/prune.bagging.Rd
man/rsurv.Rd
man/sbrier.Rd
man/slda.Rd
man/summary.bagging.Rd
man/summary.inbagg.Rd
man/summary.inclass.Rd
man/varset.Rd
src
src/SdiffKM.c
src/init.c
tests
tests/Examples
tests/Examples/ipred-Ex.Rout.save
tests/ipred-bugs.R
tests/ipred-bugs.Rout.save
tests/ipred-segfault.R
tests/ipred-segfault.Rout.save
tests/ipred-smalltest.R
tests/ipred-smalltest.Rout.save
vignettes
vignettes/ipred-examples.Rnw
vignettes/ipred.bib
ipred documentation built on May 21, 2017, 1:44 a.m.

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

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

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