sparse.model.matrix.parallel: Create a sparse model matrix in a parallel manner

In RomeroLab/pudms: Positive-Unlabeled Learning for the Analysis of Deep Mutational Scanning Datasets

Description

Create a sparse model matrix in a parallel manner

Usage

sparse.model.matrix.parallel(order = c(1, 2), data, nCores = 1, verbose = TRUE)

Arguments

order	an integer; 1= main effects, 2= main effects + pairwise effects
data	data to build a model matrix from
nCores	number of threads for parallel computing

RomeroLab/pudms documentation built on Jan. 2, 2021, 5:10 a.m.