Package: ipred 0.9-15

ipred: Improved Predictors

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

Authors:Andrea Peters [aut], Torsten Hothorn [aut, cre], Brian D. Ripley [ctb], Terry Therneau [ctb], Beth Atkinson [ctb]

ipred_0.9-15.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ipred/json (API)

# Install 'ipred' in R:

install.packages('ipred', repos = c('https://thothorn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://codeberg.org/thothorn/ipred

Datasets:

DLBCL - Diffuse Large B-Cell Lymphoma
dystrophy - Detection of muscular dystrophy carriers.
GlaucomaMVF - Glaucoma Database
Smoking - Smoking Styles

On CRAN:

10.86 score 451 packages 3.8k scripts 143k downloads 29 mentions 17 exports 41 dependencies

Last updated from:d0199232dd. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	169
linux-devel-x86_64	OK	186
source / vignettes	OK	201
linux-release-arm64	OK	180
linux-release-x86_64	OK	175
macos-release-arm64	OK	103
macos-release-x86_64	OK	175
macos-oldrel-arm64	OK	87
macos-oldrel-x86_64	OK	185
windows-devel	OK	123
windows-release	OK	118
windows-oldrel	OK	106
wasm-release	OK	152

Exports:bagging bootest control.errorest cv errorest getsurv inbagg inclass ipredbagg ipredknn kfoldcv mypredict.lm predict.ipredknn rsurv sbrier slda varset

Dependencies:class cli codetools cpp11 data.table diagram digest farver future future.apply ggplot2 globals glue gtable isoband KernSmooth labeling lattice lava lifecycle listenv MASS Matrix nnet numDeriv parallelly prodlim progressr R6 RColorBrewer Rcpp rlang rpart S7 scales shape SQUAREM survival vctrs viridisLite withr

Some more or less useful examples for illustration.

Rendered fromipred-examples.Rnwusingutils::Sweave

Last update: 2013-09-02
Started: 2013-09-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bagging Classification, Regression and Survival Trees	bagging bagging.data.frame bagging.default ipredbagg ipredbagg.default ipredbagg.factor ipredbagg.integer ipredbagg.numeric ipredbagg.Surv
Bootstrap Error Rate Estimators	bootest bootest.default bootest.factor bootest.integer bootest.numeric bootest.Surv
Control Error Rate Estimators	control.errorest
Cross-validated Error Rate Estimators.	cv cv.default cv.factor cv.integer cv.numeric cv.Surv
Diffuse Large B-Cell Lymphoma	DLBCL
Detection of muscular dystrophy carriers.	dystrophy
Estimators of Prediction Error	errorest errorest.data.frame errorest.default
Glaucoma Database	GlaucomaMVF
Indirect Bagging	inbagg inbagg.data.frame inbagg.default
Indirect Classification	inclass inclass.data.frame inclass.default
k-Nearest Neighbour Classification	ipredknn
Subsamples for k-fold Cross-Validation	kfoldcv
Predictions Based on Linear Models	mypredict.lm
Predictions from Bagging Trees	predict.classbagg predict.regbagg predict.survbagg
Predictions from an Inbagg Object	predict.inbagg
Predictions from an Inclass Object	predict.inclass
Predictions from k-Nearest Neighbors	predict.ipredknn
Predictions from Stabilised Linear Discriminant Analysis	predict.slda
Print Method for Bagging Trees	print print.classbagg print.regbagg print.survbagg
Print Method for Error Rate Estimators	print.bootestclass print.bootestreg print.bootestsurv print.cvclass print.cvreg print.cvsurv
Print Method for Inbagg Object	print.inbagg
Print Method for Inclass Object	print.inclass
Pruning for Bagging	prune.classbagg prune.regbagg prune.survbagg
Simulate Survival Data	rsurv
Model Fit for Survival Data	sbrier
Stabilised Linear Discriminant Analysis	slda slda.default slda.factor slda.formula
Smoking Styles	Smoking
Summarising Bagging	print.summary.bagging summary.classbagg summary.regbagg summary.survbagg
Summarising Inbagg	print.summary.inbagg summary.inbagg
Summarising Inclass	print.summary.inclass summary.inclass
Simulation Model	varset