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ipred (version 0.9-16)
Improved Predictors
Description
Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
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Install
install.packages('ipred')
Monthly Downloads
112,524
Version
0.9-16
License
GPL (>= 2)
Maintainer
Torsten Hothorn
Last Published
August 22nd, 2026
Functions in ipred (0.9-16)
Search all functions
summary.inbagg
Summarising Inbagg
print.classbagg
Print Method for Bagging Trees
sbrier
Model Fit for Survival Data
print.cvclass
Print Method for Error Rate Estimators
summary.inclass
Summarising Inclass
rsurv
Simulate Survival Data
varset
Simulation Model
print.inbagg
Print Method for Inbagg Object
summary.classbagg
Summarising Bagging
slda
Stabilised Linear Discriminant Analysis
print.inclass
Print Method for Inclass Object
prune.classbagg
Pruning for Bagging
Smoking
Smoking Styles
inclass
Indirect Classification
ipred-internal
Internal ipred functions
dystrophy
Detection of muscular dystrophy carriers.
GlaucomaMVF
Glaucoma Database
inbagg
Indirect Bagging
control.errorest
Control Error Rate Estimators
predict.ipredknn
Predictions from k-Nearest Neighbors
predict.classbagg
Predictions from Bagging Trees
mypredict.lm
Predictions Based on Linear Models
bootest
Bootstrap Error Rate Estimators
bagging
Bagging Classification, Regression and Survival Trees
predict.inclass
Predictions from an Inclass Object
kfoldcv
Subsamples for k-fold Cross-Validation
ipredknn
k-Nearest Neighbour Classification
errorest
Estimators of Prediction Error
cv
Cross-validated Error Rate Estimators.
predict.slda
Predictions from Stabilised Linear Discriminant Analysis
predict.inbagg
Predictions from an Inbagg Object
DLBCL
Diffuse Large B-Cell Lymphoma