This function constructs a combined table containing:
ETA variances (e.g.,
eta.cl,eta.vc), which represent inter-individual variability (IIV) in pharmacokinetic parameters;Derived covariances (e.g.,
cov.eta_cl_vc) computed from ETA variances and assumed pairwise correlations.
Details
ETA variances are initialized to 0.1 by default. Correlations within defined omega blocks
(block 1: eta.vmax, eta.km; block 2: eta.cl, eta.vc, eta.vp, eta.vp2, eta.q, eta.q2)
are assumed to be 0.1 and used to compute covariances as:
$$Cov(i, j) = sqrt(Var_i) * sqrt(Var_j) * Corr(i, j)$$
The resulting output format aligns with Recommended_initial_estimates.
Examples
getOmegas()
#> Parameters Methods Values
#> 1 eta.ka fixed_values 0.1
#> 2 eta.cl fixed_values 0.1
#> 3 eta.vc fixed_values 0.1
#> 4 eta.vp fixed_values 0.1
#> 5 eta.q fixed_values 0.1
#> 6 eta.vp2 fixed_values 0.1
#> 7 eta.q2 fixed_values 0.1
#> 8 eta.vmax fixed_values 0.1
#> 9 eta.km fixed_values 0.1
#> 10 cor.eta_vmax_km eta_corr_derived (r=0.1) 0.01
#> 11 cor.eta_cl_vc eta_corr_derived (r=0.1) 0.01
#> 12 cor.eta_cl_vp eta_corr_derived (r=0.1) 0.01
#> 13 cor.eta_cl_vp2 eta_corr_derived (r=0.1) 0.01
#> 14 cor.eta_cl_q eta_corr_derived (r=0.1) 0.01
#> 15 cor.eta_cl_q2 eta_corr_derived (r=0.1) 0.01
#> 16 cor.eta_vc_vp eta_corr_derived (r=0.1) 0.01
#> 17 cor.eta_vc_vp2 eta_corr_derived (r=0.1) 0.01
#> 18 cor.eta_vc_q eta_corr_derived (r=0.1) 0.01
#> 19 cor.eta_vc_q2 eta_corr_derived (r=0.1) 0.01
#> 20 cor.eta_vp_vp2 eta_corr_derived (r=0.1) 0.01
#> 21 cor.eta_vp_q eta_corr_derived (r=0.1) 0.01
#> 22 cor.eta_vp_q2 eta_corr_derived (r=0.1) 0.01
#> 23 cor.eta_vp2_q eta_corr_derived (r=0.1) 0.01
#> 24 cor.eta_vp2_q2 eta_corr_derived (r=0.1) 0.01
#> 25 cor.eta_q_q2 eta_corr_derived (r=0.1) 0.01