calc_auc.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/calc_auc.R
\name{calc_auc}
\alias{calc_auc}
\title{Calculate AUC}
\usage{
calc_auc(predicted_prob, classification, model_matrix = NULL)
}
\arguments{
\item{predicted_prob}{Predicted probabilities from make_prediction or any other fit as list or single vector}

\item{classification}{Respose vector for glmnet or whole classification matrix from assay if predicted_prob is a list}

\item{model_matrix}{Model matrix or just the rownames of said model matrix}
}
\description{
This function calculates AUC from the predicted probabilities.
}
\details{
When using model.matrix in make_model_matrix some samples/patients are excluded from the matrix because of missing values. So the length (nrow(model_matrix)) is smaller than the length (ncol(classification)) of the subClassification
matrix.
}