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ipred (version 0.9-14)

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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Version

Install

install.packages('ipred')

Monthly Downloads

112,381

Version

0.9-14

License

GPL (>= 2)

Maintainer

Torsten Hothorn

Last Published

March 9th, 2023

Functions in ipred (0.9-14)

bagging

Bagging Classification, Regression and Survival Trees
mypredict.lm

Predictions Based on Linear Models
dystrophy

Detection of muscular dystrophy carriers.
predict.inbagg

Predictions from an Inbagg Object
ipredknn

k-Nearest Neighbour Classification
kfoldcv

Subsamples for k-fold Cross-Validation
predict.inclass

Predictions from an Inclass Object
DLBCL

Diffuse Large B-Cell Lymphoma
GlaucomaMVF

Glaucoma Database
print.classbagg

Print Method for Bagging Trees
inclass

Indirect Classification
predict.ipredknn

Predictions from k-Nearest Neighbors
sbrier

Model Fit for Survival Data
summary.inclass

Summarising Inclass
predict.slda

Predictions from Stabilised Linear Discriminant Analysis
ipred-internal

Internal ipred functions
prune.classbagg

Pruning for Bagging
varset

Simulation Model
rsurv

Simulate Survival Data
predict.classbagg

Predictions from Bagging Trees
print.cvclass

Print Method for Error Rate Estimators
summary.classbagg

Summarising Bagging
summary.inbagg

Summarising Inbagg
print.inclass

Print Method for Inclass Object
slda

Stabilised Linear Discriminant Analysis
print.inbagg

Print Method for Inbagg Object
Smoking

Smoking Styles
bootest

Bootstrap Error Rate Estimators
errorest

Estimators of Prediction Error
inbagg

Indirect Bagging
cv

Cross-validated Error Rate Estimators.
control.errorest

Control Error Rate Estimators