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pec (version 2.2.6)
Prediction Error Curves for Survival Models
Description
Validation of predicted survival probabilities using inverse weighting and resampling.
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Install
install.packages('pec')
Monthly Downloads
7,035
Version
2.2.6
License
GPL (>= 2)
Maintainer
Thomas Alexander Gerds
Last Published
January 8th, 2013
Functions in pec (2.2.6)
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resolvesplitMethod
Resolve the splitMethod for estimation of prediction performance
R2
Explained variation for survival models
pecCforest
S3-wrapper function for cforest from the party package
plotPredictEventProb
Plotting predicted survival curves.
plot.pec
Plotting prediction error curves
predictEventProb
Predicting event probabilities (cumulative incidences) in competing risk models.
selectCox
Backward variable selection in the Cox regression model
cindex
Concordance index for right censored survival time data
coxboost
Formula interface for function
CoxBoost
of package
CoxBoost
.
predictSurvProb
Predicting survival probabilities
ipcw
Estimation of censoring probabilities
pec
Prediction error curves
print.pec
Printing a `pec' (prediction error curve) object.
Special
Drawing bootstrapped cross-validation curves and the .632 or .632plus error of models. The prediction error for an optional benchmark model can be added together with bootstrapped cross-validation error and apparent errors.
crps
Summarizing prediction error curves
plotPredictSurvProb
Plotting predicted survival curves.
cost
Copenhagen Stroke Study
GBSG2
German Breast Cancer Study Group 2