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ipred (version 0.9-15)
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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0.9-15
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Install
install.packages('ipred')
Monthly Downloads
114,067
Version
0.9-15
License
GPL (>= 2)
Maintainer
Torsten Hothorn
Last Published
July 18th, 2024
Functions in ipred (0.9-15)
Search all functions
inclass
Indirect Classification
predict.ipredknn
Predictions from k-Nearest Neighbors
mypredict.lm
Predictions Based on Linear Models
ipredknn
k-Nearest Neighbour Classification
predict.inbagg
Predictions from an Inbagg Object
ipred-internal
Internal ipred functions
predict.classbagg
Predictions from Bagging Trees
predict.inclass
Predictions from an Inclass Object
sbrier
Model Fit for Survival Data
predict.slda
Predictions from Stabilised Linear Discriminant Analysis
slda
Stabilised Linear Discriminant Analysis
print.inclass
Print Method for Inclass Object
rsurv
Simulate Survival Data
prune.classbagg
Pruning for Bagging
print.inbagg
Print Method for Inbagg Object
summary.classbagg
Summarising Bagging
summary.inbagg
Summarising Inbagg
kfoldcv
Subsamples for k-fold Cross-Validation
print.classbagg
Print Method for Bagging Trees
varset
Simulation Model
print.cvclass
Print Method for Error Rate Estimators
summary.inclass
Summarising Inclass
inbagg
Indirect Bagging
errorest
Estimators of Prediction Error
bootest
Bootstrap Error Rate Estimators
cv
Cross-validated Error Rate Estimators.
control.errorest
Control Error Rate Estimators
dystrophy
Detection of muscular dystrophy carriers.
Smoking
Smoking Styles
bagging
Bagging Classification, Regression and Survival Trees
DLBCL
Diffuse Large B-Cell Lymphoma
GlaucomaMVF
Glaucoma Database