ipred v0.9-9


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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
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
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Last month downloads


Date 2019-04-29
License GPL (>= 2)
NeedsCompilation yes
Packaged 2019-04-28 16:17:41 UTC; hothorn
Repository CRAN
Date/Publication 2019-04-28 17:40:12 UTC

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