PopED Results 

        2016-12-08 09:26:10

==============================================================================
Model description : PopED model 

Model Sizes : 
Number of individual model parameters                  g[j]    : Ng    = 5
Number of population model fixed parameters            bpop[j] : Nbpop = 4
Number of population model random effects parameters   b[j]    : Nb    = 3

Typical Population Parameters (Uncertainty Distribution):
bpop[1]:  0.15 (Log-Normal, Var=0.000225, %CV=   10)
bpop[2]:     8 (Log-Normal, Var= 0.64, %CV=   10)
bpop[3]:     1 (Log-Normal, Var= 0.01, %CV=   10)
bpop[4]:     1 (Point value)

Between Subject Variability matrix D (variance units) 
0.07 0.00 0.00
0.00 0.02 0.00
0.00 0.00 0.60

Diagonal Elements of D [sqrt(param)] (Uncertainty Distribution):
D[1,1]:  0.07 [0.2646] (Point value)
D[2,2]:  0.02 [0.1414] (Point value)
D[3,3]:   0.6 [0.7746] (Point value)

Residual Unexplained Variability matrix SIGMA (variance units) : 
0.01 0.00
0.00 0.25

Diagonal Elements of SIGMA [sqrt(param)] (Uncertainty Distribution):
SIGMA[1,1]:  0.01 [  0.1] (Point value)
SIGMA[2,2]:  0.25 [  0.5] (Point value)

==============================================================================
Experiment description (design and design space)

Numer of individuals: 32
Number of groups (individuals with same design): 1
Numer of individuals per group:
     Group 1: 32
Numer of samples per group:
 Number of discrete experimental variables: 0
Number of model covariates: 1

Initial Sampling Schedule
   0.5      1      2      6     24     36     72    120

Minimum allowed sampling values
 1e-05  1e-05  1e-05  1e-05  1e-05  1e-05  1e-05  1e-05

Maximum allowed sampling values
   120    120    120    120    120    120    120    120

Covariates  (min, max):
Group 1: 70 (0, 100)

===============================================================================
Initial design evaluation

Initial OFV = 1.30281e+24

Efficiency criterion [usually defined as OFV^(1/npar)]  = Inf

Initial design expected parameter 
relative standard error (%RSE)
    Parameter   Values   RSE_0
      bpop[1]     0.15    5.03
      bpop[2]     8.00    2.98
      bpop[3]     1.00   14.04
       D[1,1]     0.07   29.79
       D[2,2]     0.02   36.72
       D[3,3]     0.60   26.76
   SIGMA[1,1]     0.01   31.46
   SIGMA[2,2]     0.25   25.21

==============================================================================
Criterion Specification

OFV calculation for FIM: 4 
  1=Determinant of FIM,
  4=log determinant of FIM,
  6=determinant of interesting part of FIM (Ds)

Approximation method: 0
  0=FO, 
  1=FOCE, 
  2=FOCEI, 
  3=FOI

Fisher Information Matrix type: 1
  0=Full FIM,
  1=Reduced FIM,
  2=weighted models,
  3=Loc models,
  4=reduced FIM with derivative of SD of sigma as pfim,
  5=FULL FIM parameterized with A,B,C matrices & derivative of variance,
  6=Calculate one model switch at a time, good for large matrices,
  7=Reduced FIM parameterized with A,B,C matrices & derivative of variance

Design family: 0
  D-family design (1) or 
  ED-familty design (0) 
  (with or without parameter uncertainty)

==============================================================================
Optimization of design parameters

* Optimize Sampling Schedule
* Optimize Covariates

*******************************
Initial Value
 OFV(mf) = 1.30281e+24
*******************************

RS - It. : 5   OFV : 1.73568e+24
RS - It. : 10   OFV : 1.73568e+24

*******************************
RS Results
 OFV(mf) = 1.73568e+24

Optimized Sampling Schedule
 1e-05  1.474  5.607  10.39  22.91  45.89   73.6    120

Optimized Covariates:
Group 1: 64.0992

*********************************

===============================================================================
FINAL RESULTS
Optimized Sampling Schedule
 1e-05  1.474  5.607  10.39  22.91  45.89   73.6    120

Optimized Covariates:
Group 1: 64.0992

OFV = 1.73568e+24

Efficiency criterion [usually defined as det(FIM)^(1/npar)]  = Inf

Efficiency: 
  ((exp(ofv_final) / exp(ofv_init))^(1/n_parameters)) = NaN

Expected parameter 
relative standard error (%RSE):
    Parameter   Values   RSE_0     RSE
      bpop[1]     0.15    5.03    5.02
      bpop[2]     8.00    2.98    2.98
      bpop[3]     1.00   14.04   13.99
       D[1,1]     0.07   29.79   29.79
       D[2,2]     0.02   36.72   36.75
       D[3,3]     0.60   26.76   26.76
   SIGMA[1,1]     0.01   31.46   31.58
   SIGMA[2,2]     0.25   25.21   25.27

Total running time: 21.456 seconds
