predict.big_sp_list {bigstatsr} R Documentation

## Predict method

### Description

Predict method for class big_sp_list.

### Usage

## S3 method for class '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,
...
)


### Arguments

 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.

### Value

A vector of scores, corresponding to ind.row.