PopED (version 0.3.2)

mftot2: The Fisher Information Matrix (FIM) using weighted models

Description

Compute the FIM using weighted models given specific model(s), parameters, design and methods. Not currently available.

Usage

mftot2(model_switch, groupsize, ni, xt, x, a, bpop, d, sigma, docc, poped.db)

Arguments

model_switch

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

groupsize

A vector of the numer of individuals in each group.

ni

A vector of the number of samples in each group.

xt

A matrix of sample times. Each row is a vector of sample times for a group.

x

A matrix for the discrete design variables. Each row is a group.

a

A matrix of covariates. Each row is a group.

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.

See Also

For an easier function to use, please see evaluate.fim.

Other FIM: LinMatrixH, LinMatrixLH, LinMatrixL_occ, calc_ofv_and_fim, ed_laplace_ofv, ed_mftot, efficiency, evaluate.e.ofv.fim, evaluate.fim, gradf_eps, mf3, mf5, mf6, mf7, mf8, mftot0, mftot1, mftot3, mftot4, mftot5, mftot6, mftot7, mftot, mf, ofv_criterion, ofv_fim