GREMLData holds input data of a variance component model

Fields

• y: 'n' vector of responses
• X: 'n × p' matrix of covariates
• r: 'q' vector of 'n × n' correlation matrices
• dims: tuple of n = dimension of y, p = columns of X, q = dimension of r

GREMLModel holds data, parameters and optimization info of a variance component model

Fields

• data: GREMLData
• θ: 'q' vector of scalar variance component parameters
• Λ: cholesky factorization of the 'n × n' model implied covariance matrix
• μ: 'n' vector of model implied means
• opt: GREMLOpt with optimization info