ipred v0.9-5

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by Torsten Hothorn

Improved Predictors

Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.

Functions in ipred

Name Description
mypredict.lm Predictions Based on Linear Models
bagging Bagging Classification, Regression and Survival Trees
bootest Bootstrap Error Rate Estimators
prune.classbagg Pruning for Bagging
errorest Estimators of Prediction Error
predict.inclass Predictions from an Inclass Object
kfoldcv Subsamples for k-fold Cross-Validation
print.inbagg Print Method for Inbagg Object
inbagg Indirect Bagging
control.errorest Control Error Rate Estimators
cv Cross-validated Error Rate Estimators.
summary.inbagg Summarising Inbagg
ipred-internal Internal ipred functions
print.classbagg Print Method for Bagging Trees
predict.slda Predictions from Stabilised Linear Discriminant Analysis
summary.classbagg Summarising Bagging
predict.ipredknn Predictions from k-Nearest Neighbors
print.cvclass Print Method for Error Rate Estimators
summary.inclass Summarising Inclass
slda Stabilised Linear Discriminant Analysis
varset Simulation Model
print.inclass Print Method for Inclass Object
ipredknn k-Nearest Neighbour Classification
predict.classbagg Predictions from Bagging Trees
sbrier Model Fit for Survival Data
predict.inbagg Predictions from an Inbagg Object
inclass Indirect Classification
rsurv Simulate Survival Data
dystrophy Detection of muscular dystrophy carriers.
GlaucomaMVF Glaucoma Database
Smoking Smoking Styles
DLBCL Diffuse Large B-Cell Lymphoma
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Date 2015-07-28
License GPL (>= 2)
NeedsCompilation yes
Packaged 2015-07-28 13:47:39 UTC; hothorn
Repository CRAN
Date/Publication 2015-07-28 22:41:22

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