as.strucMatrix: Coerce to and from structured sparse matrices

In stevencarlislewalker/lme4ord: Generalized Linear Mixed Models with Flexible (Co)Variance Structures

Description

Coerce to and from structured sparse matrices

as("strucMatrix", "sparseMatrix")

as("strucMatrix", "CsparseMatrix")

as("strucMatrix", "dgCMatrix")

as("strucMatrix", "dtCMatrix")

as("strucMatrix", "TsparseMatrix")

as("strucMatrix", "dgTMatrix")

as("strucMatrix", "dtTMatrix")

Usage

as.strucMatrix(x, ...)

## S3 method for class 'strucMatrix'
as.strucMatrix(x, ...)

## S3 method for class 'dsparseMatrix'
as.strucMatrix(x, ...)

## S3 method for class 'matrix'
as.strucMatrix(x, ...)

## S3 method for class 'factor'
as.strucMatrix(x, ...)

## S3 method for class 'dist'
as.strucMatrix(x, ...)

## S3 method for class 'dCHMsimpl'
as.strucMatrix(x, ...)

## S3 method for class 'strucMatrix'
as.data.frame(x, ...)

## S3 method for class 'strucMatrix'
as.matrix(x, sparse = FALSE, ...)

## S3 method for class 'strucMatrixChol'
as.matrix(x, sparse = FALSE, ...)

Arguments

x	an object
...	dots
sparse	return sparseMatrix?

Examples

set.seed(1)
m1 <- as.strucMatrix(matrix(rnorm(6), 2, 3))
m2 <- as.strucMatrix(matrix(rbinom(6, 1, 0.5), 2, 3))
m3 <- sparseMatrix(i = 1:10, j = rep(1:5, 2),
                   x = as.integer(rbinom(10, 1, 0.5)),
                   giveCsparse = FALSE)
as.strucMatrix(m1)
as.strucMatrix(m2)
as.strucMatrix(m3)
as(m1, "TsparseMatrix")
as(m2, "dgCMatrix")
as(m2, "sparseMatrix")

stevencarlislewalker/lme4ord documentation built on May 30, 2019, 4:43 p.m.