train_predict: Extract AUC from multiple (train) folds
In jnshsrs/PEDISdata: Preprocessing PEDIS data files

Description Usage Arguments Value Examples

Function takes a list with integer vectors representing fold indicies or a single integer vector representing these indicies and predict outcomes based on the training results

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train_predict(folds, X_y)

train_predict(folds, X_y)

`folds`	A list with integer vectors
`X_y`	A list with predictor matrix and response vector
`folds`	An integer vectors or a list containing integer vectors
`X_y`	A list containing the predictor matrix 'X' and the outcome vector 'y'

A numeric vector containing AUC values

A dataframe containing the actual outcome and the predicted value

data(pedis)
X_y <- prepare_X_y(pedis, outcome = "minor_amputation", vars = c("p", "d"))
folds <- create_folds(y = X_y$y)
fit <- train_pedis(X = X_y$X, y = X_y$y, folds = folds)
map_train_auc(folds = folds, X_y = X_y)

data(pedis)
X_y <- prepare_X_y(data = pedis, outcome = "minor_amputation", vars = c("p", "d"))
fold_idx <- 1:10
train_predict(folds = 1:10, X_y = X_y)
folds <- list(1:10, 11:20)
train_predict(folds = folds, X_y = X_y)