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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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Version

Install

install.packages('ipred')

Monthly Downloads

155,491

Version

0.9-15

License

GPL (>= 2)

Maintainer

Last Published

July 18th, 2024

Functions in ipred (0.9-15)

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