"Parameter Covariance Matrix", when specified as a scalar, must be positive.
Posted: Sun Mar 28, 2021 4:26 pm
"Parameter Covariance Matrix", when specified as a scalar, must be positive.
"Parameter Covariance Matrix", when specified as a vector, must have elements (number of estimated model parameters).
"Parameter Covariance Matrix", when specified as a vector, must have all its elements positive.
"Parameter Covariance Matrix" must be square with {0} rows and columns (number of estimated model parameters).
"Parameter Covariance Matrix" must be square, symmetric and positive-definite.
"Parameter Covariance Matrix" must be a scalar, a vector or a 2-dimensional matrix.
blocks
"Parameter Covariance Matrix", when specified as a vector, must have elements (number of estimated model parameters).
"Parameter Covariance Matrix", when specified as a vector, must have all its elements positive.
"Parameter Covariance Matrix" must be square with {0} rows and columns (number of estimated model parameters).
"Parameter Covariance Matrix" must be square, symmetric and positive-definite.
"Parameter Covariance Matrix" must be a scalar, a vector or a 2-dimensional matrix.
blocks