Linearize#
Pharmpy currently creates results after a PsN linearize run.
The linearize results#
OFVs#
The OFVs of the base model and the linearized model before and after estimation are summarized in the ofv table. These values should be close. A difference signals problems with the linearization.
| ofv | |
|---|---|
| base | 730.894727 |
| lin_evaluated | 730.894727 |
| lin_estimated | 730.847272 |
Individual OFVs#
The individual OFVs for the base and linearized models together with their difference is in the iofv table. If there was a deviation in the ofv these values can be used to see if some particular individual was problematic to linearize.
| base | linear | delta | |
|---|---|---|---|
| ID | |||
| 1 | 7.742853 | 7.722681 | -0.020172 |
| 2 | 12.049270 | 12.072922 | 0.023652 |
| 3 | 12.042005 | 12.025071 | -0.016933 |
| 4 | 12.812731 | 12.767326 | -0.045405 |
| 5 | 10.092668 | 10.052741 | -0.039927 |
| 6 | 14.345523 | 14.466217 | 0.120694 |
| 7 | 11.092993 | 11.062696 | -0.030297 |
| 8 | 13.515740 | 13.483016 | -0.032724 |
| 9 | 15.320532 | 15.253131 | -0.067401 |
| 10 | 10.998789 | 10.959488 | -0.039301 |
| 11 | 5.216717 | 5.214554 | -0.002163 |
| 12 | 12.099921 | 12.125228 | 0.025306 |
| 13 | 10.321679 | 10.306275 | -0.015405 |
| 14 | 18.261241 | 18.333707 | 0.072466 |
| 15 | 7.671243 | 7.651480 | -0.019763 |
| 16 | 12.330720 | 12.297562 | -0.033158 |
| 17 | 12.936161 | 12.906483 | -0.029678 |
| 18 | 19.714069 | 19.871090 | 0.157021 |
| 19 | 12.019825 | 12.011817 | -0.008008 |
| 20 | 12.056142 | 12.013498 | -0.042644 |
| 21 | 12.248747 | 12.213924 | -0.034823 |
| 22 | 7.605213 | 7.571494 | -0.033719 |
| 23 | 19.815937 | 19.898911 | 0.082974 |
| 24 | 27.454128 | 27.483765 | 0.029637 |
| 25 | 27.964631 | 28.119373 | 0.154742 |
| 26 | 13.186715 | 13.170103 | -0.016612 |
| 27 | 9.077661 | 9.064019 | -0.013642 |
| 28 | 7.940635 | 7.941894 | 0.001260 |
| 29 | 5.074883 | 5.073446 | -0.001437 |
| 30 | 9.256369 | 9.245489 | -0.010881 |
| 31 | 5.103887 | 5.101956 | -0.001932 |
| 32 | 19.907728 | 19.900485 | -0.007243 |
| 33 | 7.743720 | 7.709980 | -0.033740 |
| 34 | 8.047324 | 8.021009 | -0.026315 |
| 35 | 9.430306 | 9.400894 | -0.029412 |
| 36 | 13.781609 | 13.798011 | 0.016402 |
| 37 | 8.378940 | 8.371430 | -0.007511 |
| 38 | 16.194729 | 16.237151 | 0.042422 |
| 39 | 15.599213 | 15.525654 | -0.073559 |
| 40 | 6.709166 | 6.667521 | -0.041645 |
| 41 | 11.219054 | 11.180075 | -0.038978 |
| 42 | 18.122738 | 18.296506 | 0.173768 |
| 43 | 6.229686 | 6.228531 | -0.001156 |
| 44 | 10.756406 | 10.734272 | -0.022134 |
| 45 | 10.979740 | 10.927830 | -0.051910 |
| 46 | 4.813988 | 4.812185 | -0.001803 |
| 47 | 6.234962 | 6.233799 | -0.001163 |
| 48 | 35.389988 | 35.431669 | 0.041681 |
| 49 | 12.057167 | 12.047647 | -0.009521 |
| 50 | 19.429917 | 19.365265 | -0.064652 |
| 51 | 15.011212 | 15.105276 | 0.094064 |
| 52 | 16.302735 | 16.342891 | 0.040156 |
| 53 | 9.292516 | 9.307608 | 0.015092 |
| 54 | 15.067193 | 14.977095 | -0.090098 |
| 55 | 4.359971 | 4.357379 | -0.002592 |
| 56 | 7.340768 | 7.341140 | 0.000372 |
| 57 | 9.515376 | 9.511708 | -0.003668 |
| 58 | 11.970486 | 11.940640 | -0.029846 |
| 59 | 13.638461 | 13.592266 | -0.046195 |
This is also plotted in iofv_plot