Prints a summary of the results from the initial parameter estimation pipeline,
including recommended initial estimates, ETA variance estimates, and parameter descriptions.
It is the default S3 print method for objects of class getPPKinits.
Usage
# S3 method for class 'getPPKinits'
print(x, ...)Arguments
- x
An object of class
getPPKinitscontaining the initial parameter estimation results. Expected components include:Recommended_initial_estimates: A data frame with estimated values and selection methods.Parameter.descriptions: A character vector explaining the meaning of each parameter.time.spent: Time taken to compute the estimates.
- ...
Additional arguments (for compatibility with the generic
print()).
Examples
# \donttest{
## Oral example
inits.out <- getPPKinits(Bolus_1CPT)
#>
#>
#> Infometrics Value
#> ---------------------------------------- ---------------
#> Dose Route bolus
#> Dose Type combined_doses
#> Number of Subjects 120
#> Number of Observations 6951
#> Subjects with First-Dose Interval Data 120
#> Observations in the First-Dose Interval 2276
#> Subjects with Multiple-Dose Data 120
#> Observations after Multiple Doses 4675
#> ---------------------------------------- ------
#> Estimating half-life....................
#> Half-life estimation complete: Estimated t1/2 = 11.26 h
#> Evaluating the predictive performance of calculated one-compartment model parameters....................
#> Base PK parameter analysis finished. Estimated ka: NA, estimated CL: 4, estimated Vd: 66
#> Run parameter sweeping on nonlinear elimination kinetics PK parameters....................
#> Run parameter sweeping on multi-compartmental PK parameters....................
print(inits.out)
#> ===============Initial Parameter Estimation Summary ===============
#>
#> Recommended initial estimates :
#> Parameters Methods Values
#> 1 Ka IV NA
#> 2 CL Naive pooled NCA (MD) 4.000
#> 3 Vd Naive pooled NCA (MD) 66.000
#> 4 Vmax Parameter sweeping 21551.820
#> 5 Km Parameter sweeping 5321.437
#> 6 Vc(2CMPT) Parameter sweeping 66.000
#> 7 Vp(2CMPT) Parameter sweeping 6.600
#> 8 Q(2CMPT) Parameter sweeping 1.000
#> 9 Vc(3CMPT) Parameter sweeping 47.601
#> 10 Vp(3CMPT) Parameter sweeping 9.520
#> 11 Vp2(3CMPT) Parameter sweeping 9.520
#> 12 Q(3CMPT) Parameter sweeping 8.000
#> 13 Q2(3CMPT) Parameter sweeping 8.000
#> 14 Sigma additive Model-based 11.111
#> 15 Sigma proportional Model-based 0.114
#>
#> Time spent :
#> [1] "112.477s"
#>
#> ETA variances and derived covariances:
#> 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
#> Note: The ETA variances and covariances listed above are predefined default initialization values automatically assigned by the package.
#>
#> Parameter descriptions:
#> [1] "Ka: absorption constant rate"
#> [2] "CL: clearance"
#> [3] "Vd: volume of distribution"
#> [4] "Vmax: maximum metabolic rate"
#> [5] "Km: Michaelis constant"
#> [6] "Vc: volume of distribution of the central compartment"
#> [7] "Vp: volume of distribution of the peripheral compartment"
#> [8] "Vp2: volume of distribution of the second peripheral compartment"
#> [9] "Q: inter-compartmental clearance"
#> [10] "Q2: inter-compartmental clearance between central and second peripheral compartment"
#> [11] "Sigma additive: standard deviation of additive residual error"
#> [12] "Sigma proportional: standard deviation of proportional residual error"
#>
#> =============== End of Summary ===============
# }