
Maps the elements of an array containing symmetric positive-definite matrices to a matrix with sufficient columns to hold them (called matrix-band format.)
iam(j, k, M, both = FALSE, diag = TRUE)
An integer from the set {1:M
} giving the row number
of an element.
An integer from the set {1:M
} giving the column number
of an element.
The number of linear/additive predictors. This is the dimension of each positive-definite symmetric matrix.
Logical. Return both the row and column indices? See below for more details.
Logical. Return the indices for the diagonal elements?
If FALSE
then only the strictly upper triangular part of the matrix
elements are used.
This function has a dual purpose depending on the value of both
.
If both=FALSE
then the column number corresponding
to the j
-k
element of the matrix is returned.
If both = TRUE
then j
and k
are ignored and a list
with the following components are returned.
The row indices of the upper triangular part of the
matrix (This may or may not include the diagonal elements, depending
on the argument diagonal
).
The column indices of the upper triangular part of the
matrix (This may or may not include the diagonal elements, depending
on the argument diagonal
).
Suppose we have array
of dimension c(n,M,M)
.
Then these can be more compactly represented by a
matrix
of dimension c(n,K)
where K
is an integer
between M
and M*(M+1)/2
inclusive.
The mapping between these two representations is given by this function.
It firstly enumerates by the diagonal elements, followed by the band
immediately above the diagonal, then the band above that one, etc.
The last element is (1,M)
.
This function performs the mapping from elements (j,k)
of symmetric positive-definite square matrices to the columns of
another matrix representing such.
This is called the matrix-band format and is used by
the VGAM package.
# NOT RUN {
iam(1, 2, M = 3) # The 4th column represents element (1,2) of a 3x3 matrix
iam(NULL, NULL, M = 3, both = TRUE) # Return the row and column indices
dirichlet()@weight
M <- 4
temp1 <- iam(NA, NA, M = M, both = TRUE)
mat1 <- matrix(NA, M, M)
mat1[cbind(temp1$row, temp1$col)] = 1:length(temp1$row)
mat1 # More commonly used
temp2 <- iam(NA, NA, M = M, both = TRUE, diag = FALSE)
mat2 <- matrix(NA, M, M)
mat2[cbind(temp2$row, temp2$col)] = 1:length(temp2$row)
mat2 # Rarely used
# }
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