Bootstraped estimation of mean and 95CI
metric95ci(metric,nss=1000,ssize=0)
concordance95ci(datatest,nss=1000)
sperman95ci(datatest,nss=4000)
MAE95ci(datatest,nss=4000)
ClassMetric95ci(datatest,nss=4000)the mean estimation of the metrics with its corresponding 95CI
A matrix whose first column is the model predictionground truth, and the second the prediction
The number of bootstrap samples
A vector with metric estimations
The maximim number of samples to use
Jose G. Tamez-Pena
A set of auxiliary samples to bootstrap estimations of the 95CI
randomCV