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ipred (version 0.9-1)

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

149,326

Version

0.9-1

License

GPL (>= 2)

Maintainer

Torsten Hothorn

Last Published

November 14th, 2012

Functions in ipred (0.9-1)

mypredict.lm

Predictions Based on Linear Models
slda

Stabilised Linear Discriminant Analysis
predict.ipredknn

Predictions from k-Nearest Neighbors
predict.inbagg

Predictions from an Inbagg Object
cv

Cross-validated Error Rate Estimators.
predict.slda

Predictions from Stabilised Linear Discriminant Analysis
summary.classbagg

Summarising Bagging
bagging

Bagging Classification, Regression and Survival Trees
summary.inbagg

Summarising Inbagg
sbrier

Model Fit for Survival Data
summary.inclass

Summarising Inclass
inclass

Indirect Classification
print.classbagg

Print Method for Bagging Trees
rsurv

Simulate Survival Data
bootest

Bootstrap Error Rate Estimators
print.inclass

Print Method for Inclass Object
predict.inclass

Predictions from an Inclass Object
prune.classbagg

Pruning for Bagging
ipredknn

k-Nearest Neighbour Classification
kfoldcv

Subsamples for k-fold Cross-Validation
control.errorest

Control Error Rate Estimators
print.inbagg

Print Method for Inbagg Object
predict.classbagg

Predictions from Bagging Trees
inbagg

Indirect Bagging
print.cvclass

Print Method for Error Rate Estimators
varset

Simulation Model
errorest

Estimators of Prediction Error
ipred-internal

Internal ipred functions
DLBCL

Diffuse Large B-Cell Lymphoma
GlaucomaM

Glaucoma Database
GBSG2

German Breast Cancer Study Group 2
GlaucomaMVF

Glaucoma Database
dystrophy

Detection of muscular dystrophy carriers.
Smoking

Smoking Styles