The function performs a linearization of the model with respect to the residual variability. Derivative of model w.r.t. eps evaluated at eps=0

LinMatrixH(model_switch, xt_ind, x, a, bpop, b_ind, bocc_ind, poped.db)

## Arguments

model_switch A matrix that is the same size as xt, specifying which model each sample belongs to. A vector of the individual/group sample times A matrix for the discrete design variables. Each row is a group. A matrix of covariates. Each row is a group. The fixed effects parameter values. Supplied as a vector. vector of individual realization of the BSV terms b Vector of individual realizations of the BOV terms bocc A PopED database.

## Value

A matrix of size (samples per individual x number of epsilons)

Other FIM: LinMatrixLH(), LinMatrixL_occ(), calc_ofv_and_fim(), ed_laplace_ofv(), ed_mftot(), efficiency(), evaluate.e.ofv.fim(), evaluate.fim(), gradf_eps(), mf3(), mf7(), mftot(), ofv_criterion(), ofv_fim()