tensor model matrix for two marginal bases
Function called recursively inside tensor.prod.X.
tensor.in(X1, X2)
X1 |
first marginal design matrix with n rows and p1 columns |
X2 |
first marginal design matrix with n rows and p2 columns |
Matrix of dimensions n*(p1*p2) representing the row tensor product of the matrices X1 and X2
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)
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