matrix.sparse: Creates a sparse matrix object.

In adelie: Group Lasso and Elastic Net Solver for Generalized Linear Models

Creates a sparse matrix object.

Description

Creates a sparse matrix object.

Usage

matrix.sparse(mat, method = c("naive", "cov"), n_threads = 1)

Arguments

mat	A sparse matrix.
method	Method type, with default method="naive". If method="cov", the matrix is used with the solver gaussian_cov(). Used for glm.gaussian() and glm.multigaussian() families. Generally "naive" is used for wide matrices, and "cov" for tall matrices.
n_threads	Number of threads.

Value

Sparse matrix object. The object is an S4 class with methods for efficient computation by adelie.

Examples

n <- 100
p <- 20
X_dense <- matrix(rnorm(n * p), n, p)
X_sp <- as(X_dense, "dgCMatrix")
out <- matrix.sparse(X_sp, method="naive")
A_dense <- t(X_dense) %*% X_dense
A_sp <- as(A_dense, "dgCMatrix")
out <- matrix.sparse(A_sp, method="cov")

adelie documentation built on Sept. 11, 2024, 6:36 p.m.