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The Fisher Information Matrix (FIM) for one individual

Source: R/mf3.R
mf3.Rd

Compute the FIM for one individual given specific model(s), parameters, design and methods.

Usage

mf3(model_switch, xt, x, a, bpop, d, sigma, docc, poped.db)

Arguments

model_switch

A vector that is the same size as xt, specifying which model each sample belongs to.

xt

A vector of sample times.

x

A vector for the discrete design variables.

a

A vector of covariates.

bpop

The fixed effects parameter values. Supplied as a vector.

d

A between subject variability matrix (OMEGA in NONMEM).

sigma

A residual unexplained variability matrix (SIGMA in NONMEM).

docc

A between occasion variability matrix.

poped.db

A PopED database.

Value

As a list:

ret

The FIM for one individual

poped.db

A PopED database

See also

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