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ipred (version 0.9-11)

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

111,345

Version

0.9-11

License

GPL (>= 2)

Maintainer

Torsten Hothorn

Last Published

March 12th, 2021

Functions in ipred (0.9-11)

bootest

Bootstrap Error Rate Estimators
cv

Cross-validated Error Rate Estimators.
DLBCL

Diffuse Large B-Cell Lymphoma
GlaucomaMVF

Glaucoma Database
errorest

Estimators of Prediction Error
inbagg

Indirect Bagging
Smoking

Smoking Styles
dystrophy

Detection of muscular dystrophy carriers.
mypredict.lm

Predictions Based on Linear Models
bagging

Bagging Classification, Regression and Survival Trees
control.errorest

Control Error Rate Estimators
predict.inbagg

Predictions from an Inbagg Object
slda

Stabilised Linear Discriminant Analysis
kfoldcv

Subsamples for k-fold Cross-Validation
sbrier

Model Fit for Survival Data
ipredknn

k-Nearest Neighbour Classification
summary.inbagg

Summarising Inbagg
predict.slda

Predictions from Stabilised Linear Discriminant Analysis
predict.ipredknn

Predictions from k-Nearest Neighbors
summary.classbagg

Summarising Bagging
inclass

Indirect Classification
predict.inclass

Predictions from an Inclass Object
print.classbagg

Print Method for Bagging Trees
print.cvclass

Print Method for Error Rate Estimators
varset

Simulation Model
ipred-internal

Internal ipred functions
summary.inclass

Summarising Inclass
rsurv

Simulate Survival Data
prune.classbagg

Pruning for Bagging
predict.classbagg

Predictions from Bagging Trees
print.inbagg

Print Method for Inbagg Object
print.inclass

Print Method for Inclass Object