tensor.in {survPen}

tensor model matrix for two marginal bases

Description

Function called recursively inside tensor.prod.X.

Usage

tensor.in(X1, X2)

Arguments

X1

first marginal design matrix with n rows and p1 columns

X2

first marginal design matrix with n rows and p2 columns

Value

Matrix of dimensions n*(p1*p2) representing the row tensor product of the matrices X1 and X2

Examples

library(survPen)

# row-wise tensor product between two design matrices
set.seed(15)

X1 <- matrix(rnorm(10*3),nrow=10,ncol=3)
X2 <- matrix(rnorm(10*2),nrow=10,ncol=2)
tensor.in(X1,X2)