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ipred (version 0.9-9)

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

0.9-9

License

GPL (>= 2)

Maintainer

Torsten Hothorn

Last Published

April 28th, 2019

Functions in ipred (0.9-9)

predict.inbagg

Predictions from an Inbagg Object
cv

Cross-validated Error Rate Estimators.
bootest

Bootstrap Error Rate Estimators
errorest

Estimators of Prediction Error
inbagg

Indirect Bagging
dystrophy

Detection of muscular dystrophy carriers.
control.errorest

Control Error Rate Estimators
mypredict.lm

Predictions Based on Linear Models
predict.ipredknn

Predictions from k-Nearest Neighbors
predict.slda

Predictions from Stabilised Linear Discriminant Analysis
summary.classbagg

Summarising Bagging
print.classbagg

Print Method for Bagging Trees
predict.classbagg

Predictions from Bagging Trees
prune.classbagg

Pruning for Bagging
rsurv

Simulate Survival Data
print.cvclass

Print Method for Error Rate Estimators
Smoking

Smoking Styles
bagging

Bagging Classification, Regression and Survival Trees
summary.inbagg

Summarising Inbagg
inclass

Indirect Classification
print.inclass

Print Method for Inclass Object
ipred-internal

Internal ipred functions
print.inbagg

Print Method for Inbagg Object
summary.inclass

Summarising Inclass
varset

Simulation Model
DLBCL

Diffuse Large B-Cell Lymphoma
GlaucomaMVF

Glaucoma Database
ipredknn

k-Nearest Neighbour Classification
kfoldcv

Subsamples for k-fold Cross-Validation
predict.inclass

Predictions from an Inclass Object
sbrier

Model Fit for Survival Data
slda

Stabilised Linear Discriminant Analysis