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,
ncores = 1,
...
)
```

- object
Object of class

`big_sp_list`

.- X
An object of class FBM.

- ind.row
An optional vector of the row indices that are used. If not specified, all rows are used.

**Don't use negative indices.**- ind.col
An optional vector of the column indices that are used. If not specified, all columns are used.

**Don't use negative indices.**- covar.row
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.- proba
Whether to return probabilities?

- base.row
Vector of base predictions, corresponding to

`ind.row`

.- ncores
Number of cores used. Default doesn't use parallelism. You may use nb_cores.

- ...
Not used.

A vector of scores, corresponding to `ind.row`

.

big_spLinReg and big_spLogReg.