Bootstrap_LOOCV_LR_AUC {TBSignatureProfiler} | R Documentation

## Bootstrap on Leave-one-out CV with Logistic Regression.

### Description

Bootstrap on Leave-one-out CV with Logistic Regression.

### Usage

    Bootstrap_LOOCV_LR_AUC(df, targetVec, nboot)

### Arguments

`df` | a `data.frame` of gene expression count data. Required.
`targetVec` | a binary vector of the response variable. Should be the same number of rows as `df`. Required.
`nboot` | an integer specifying the number of bootstrap iterations.

### Value

A list of length 2 with elements

`auc` | A vector the length of `nboot` with the AUC from each bootstrap iteration.
`byClass` | A dataframe with number of rows equal to `nboot`. Each row contains the sensitivity, specificity, positive predictive value, negative predictive value, precision, recall, F1, prevalence, detection rate, detection prevalence and balanced accuracy for that bootstrap iteration.

[Package TBSignatureProfiler version 1.6.0 Index]