tests/testthat/_snaps/multIDs_xposeNlmeModel.md

xposeNlmeModel works with multiple IDs time-based model

Code
  tail(as.data.frame(xpdb$data$data[[1]]))
Output
      Subject Nom_Time Act_Time Amount Conc Age BodyWeight Gender Subject1
  107      16        1     0.47     NA 1190  44         44   male       16
  108      16        1     0.85     NA  535  44         44   male       16
  109      16        2     1.95     NA  333  44         44   male       16
  110      16        4     3.91     NA  341  44         44   male       16
  111      16        8     7.98     NA  273  44         44   male       16
  112      16       24    24.19     NA  101  44         44   male       16
      Subject2       ID WhichReset  TIME        V       Cl V2      Cl2  IVAR
  107       16 16_16_16          0  0.47 13.07169 3.245687 41 18.13947  0.47
  108       16 16_16_16          0  0.85 13.07169 3.245687 41 18.13947  0.85
  109       16 16_16_16          0  1.95 13.07169 3.245687 41 18.13947  1.95
  110       16 16_16_16          0  3.91 13.07169 3.245687 41 18.13947  3.91
  111       16 16_16_16          0  7.98 13.07169 3.245687 41 18.13947  7.98
  112       16 16_16_16          0 24.19 13.07169 3.245687 41 18.13947 24.19
        TAD    PRED   IPRED   DV       IRES PREDSE      Weight      IWRES
  107  0.47 944.490 960.472 1190 229.528000     NA 1.08400e-06  1.4328200
  108  0.85 586.594 634.709  535 -99.708900     NA 2.48228e-06 -0.9418900
  109  1.95 264.073 368.666  333 -35.665900     NA 7.35757e-06 -0.5800440
  110  3.91 181.940 305.362  341  35.638000     NA 1.07243e-05  0.6997440
  111  7.98 120.996 244.392  273  28.608100     NA 1.67427e-05  0.7018490
  112 24.19  24.467 101.395  101  -0.395297     NA 9.72667e-05 -0.0233747
           WRES     CWRES CdfDV ObsName WhichDose        nCl      nCl2 EVID
  107  0.537287  0.396066     0    CObs         1 -0.7644766 0.2581289    0
  108 -1.427600 -1.465010     0    CObs         1 -0.7644766 0.2581289    0
  109  0.822627  0.586941     0    CObs         1 -0.7644766 0.2581289    0
  110  1.694720  1.344000     0    CObs         1 -0.7644766 0.2581289    0
  111  1.458250  0.532308     0    CObs         1 -0.7644766 0.2581289    0
  112  4.383730 -0.405307     0    CObs         1 -0.7644766 0.2581289    0


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Certara.Xpose.NLME documentation built on April 3, 2025, 7:45 p.m.