MatNorm_test: MatNorm_test
In braunm/CppADutils: utils for using CppAD in packages
MatNorm_test R Documentation
MatNorm_test
Description
MatNorm_test
Usage
MatNorm_test(X_, M_, chol_U_, chol_V_, isPrec)
MatNorm_sparse_test(X_, M_, U_, V_, isPrec)
Arguments
X_
numeric matrix (k x N)
M_
numeric matrix (k x N)
chol_U_
k x k lower triangular matrix of lower triangle of chol(U)
chol_V_
N x N lower triangular matrix of lower triangle of chol(V)
isPrec
TRUE if U and V are precision matrices. FALSE is U and V are covariance matrices
U_
k x k dgCMatrix (full, not Cholesky)
V_
N x N dgCMatrix (full, not Cholesky)
Value
log pdf of matrix normal distribution
log pdf of matrix normal distribution
braunm/CppADutils documentation built on Aug. 15, 2024, 5:30 p.m.
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| MatNorm_test | R Documentation |
MatNorm_test
Description
MatNorm_test
Usage
MatNorm_test(X_, M_, chol_U_, chol_V_, isPrec)
MatNorm_sparse_test(X_, M_, U_, V_, isPrec)
Arguments
X_ |
numeric matrix (k x N) |
M_ |
numeric matrix (k x N) |
chol_U_ |
k x k lower triangular matrix of lower triangle of chol(U) |
chol_V_ |
N x N lower triangular matrix of lower triangle of chol(V) |
isPrec |
TRUE if U and V are precision matrices. FALSE is U and V are covariance matrices |
U_ |
k x k dgCMatrix (full, not Cholesky) |
V_ |
N x N dgCMatrix (full, not Cholesky) |
Value
log pdf of matrix normal distribution
log pdf of matrix normal distribution
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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