Predict method

Predict method for class big_sp.

# S3 method for big_sp
predict(object, X, ind.row, ind.col, covar.row = NULL, ncores = 1, ...)

Arguments

object: Object of class big_sp.
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.
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.