KronMean

class glimix_core.mean.KronMean(A, X)

Kronecker mean function, (A⊗X)vec(B).

Let

• n be the number of samples;

• p the number of traits; and

• c the number of covariates.

The mathematical representation is

𝐦 = (A⊗X)vec(B)

where A is a p×p trait design matrix of fixed effects and X is a n×c sample design matrix of fixed effects. B is a c×p matrix of fixed-effect sizes.

__init__(A, X)

Constructor.

Parameters

• A (array_like) – p×p array.

• X (array_like) – n×c array.

Methods

__init__(A, X)	Constructor.
gradient()	Gradient of the linear mean function.
value()	Kronecker mean function.

Attributes

A	Matrix A.
AX	A ⊗ X.
B	Effect-sizes parameter, B.
X	Matrix X.
name	Name of this function.
nparams	Number of parameters.