call

Iopt.call(Y, X, Zs, Vinv, costs)[source]

Computes the I-optimal metric for a given design.

Parameters

Ynp.array(2d)

The design matrix

Xnp.array(2d)

The model matrix

Zslist(np.array(1d))

The grouping matrices

Vinvnp.array(3d)

The inverses of the multiple covariance matrices for each set of a-priori variance ratios.

costslist(np.array(1d), float, np.array(1d))

The list of different costs.

Returns

metricfloat

The negative of the I-optimality criterion.