Predict method for class big_sp_list.

# S3 method for big_sp_list
predict(
object,
X,
ind.row = rows_along(X),
ind.col = attr(object, "ind.col"),
covar.row = NULL,
proba = (attr(object, "family") == "binomial"),
base.row = NULL,
...
)

## Arguments

object Object of class big_sp_list. An object of class FBM. An optional vector of the row indices that are used. If not specified, all rows are used. Don't use negative indices. An optional vector of the column indices that are used. If not specified, all columns are used. Don't use negative indices. Matrix of covariables to be added in each model to correct for confounders (e.g. the scores of PCA), corresponding to ind.row. Default is NULL and corresponds to only adding an intercept to each model. You can use covar_from_df() to convert from a data frame. Whether to return probabilities? Vector of base predictions, corresponding to ind.row. Not used.

## Value

A vector of scores, corresponding to ind.row.