Creates xpose database from Certara.RsNLME objects
xposeNlmeModel.RdImports results of an NLME run into xpose database
Use to import NLME model object and NLME object output
into xpdb object that is compatible
with existing model diagnostic function in Xpose package.
Arguments
- model
NlmePmlModel model class object generated by
Certara.RsNLMEpackage- fitmodelOutput
the output object of
Certara.RsNLME::fitmodel()run.
Examples
# \donttest{
library(Certara.RsNLME)
library(Certara.Xpose.NLME)
model <- pkmodel(
parameterization = "Clearance",
numCompartments = 2,
data = pkData,
ID = "Subject",
Time = "Act_Time",
A1 = "Amount",
CObs = "Conc"
)
fit <- fitmodel(model)
#> Using MPI host with 4 cores
#>
#> NLME Job
#> sharedDirectory is not given in the host class instance.
#> Valid NLME_ROOT_DIRECTORY is not given, using current working directory:
#> C:/Repos/R-Xpose-NLME/docs/reference
#>
#> Compiling 1 of 1 NLME models
#> TDL5 version: 25.7.1.1
#>
#> Status: OK
#> License expires: 2026-08-05
#> Refresh until: 2025-09-04 07:01:18
#> Current Date: 2025-08-05
#> The model compiled
#>
#>
#> Iteration -2LL tvV tvCl tvV2 tvCl2 nSubj nObs
#> 1 1734.38 1.07796 1.05372 1.10597 1.07380 16 112
#> 2 1640.76 1.19901 1.16447 1.21074 1.19472 16 112
#> 3 1587.09 1.35133 1.31271 1.35521 1.34724 16 112
#> 4 1559.94 1.51691 1.47592 1.51570 1.51267 16 112
#> 5 1545.53 1.69253 1.65038 1.68761 1.68812 16 112
#> 6 1537.46 1.87322 1.83076 1.86587 1.86828 16 112
#> 7 1532.81 2.04832 2.00610 2.03978 2.04280 16 112
#> 8 1530.43 2.19847 2.15746 2.19006 2.19264 16 112
#> 9 1529.44 2.28870 2.24956 2.28142 2.28275 16 112
#> 10 1528.44 2.36768 2.33174 2.36244 2.36178 16 112
#> 11 1525.84 2.52046 2.49445 2.52134 2.51486 16 112
#> 12 1519.67 2.80483 2.80466 2.82032 2.80038 16 112
#> 13 1515.10 3.21194 3.25592 3.24936 3.20963 16 112
#> 14 1510.03 3.05238 3.08750 3.07917 3.04942 16 112
#> 15 1504.03 3.18762 3.25244 3.21772 3.18563 16 112
#> 16 1503.29 3.75212 3.93610 3.79491 3.75353 16 112
#> 17 1495.99 3.57164 3.73550 3.60451 3.57215 16 112
#> 18 1493.74 3.72773 3.93150 3.76212 3.72926 16 112
#> 19 1486.86 4.46486 4.87109 4.50720 4.47162 16 112
#> 20 1482.33 4.54962 4.99801 4.59027 4.55754 16 112
#> 21 1465.23 5.63303 6.49837 5.67268 5.65262 16 112
#> 22 1449.27 6.59887 7.94730 6.63178 6.63436 16 112
#> 23 1448.20 6.63453 8.02035 6.66403 6.67397 16 112
#> 24 1447.20 6.48840 7.81175 6.50995 6.53610 16 112
#> 25 1445.80 6.66308 8.03269 6.67198 6.72787 16 112
#> 26 1443.68 7.05368 8.50609 7.03508 7.15239 16 112
#> 27 1442.28 7.73989 9.30359 7.67427 7.88704 16 112
#> 28 1439.90 8.00197 9.57586 7.91965 8.15561 16 112
#> 29 1438.04 8.71977 10.37810 8.58723 8.90172 16 112
#> 30 1433.56 10.51470 12.38290 10.24620 10.76480 16 112
#> 31 1430.80 13.20840 15.39390 12.73360 13.55560 16 112
#> 32 1426.24 13.39910 15.55390 12.89450 13.73680 16 112
#> 33 1423.81 13.37820 15.51600 12.86180 13.71630 16 112
#> 34 1420.55 13.70890 15.83190 13.11970 14.05080 16 112
#> 35 1419.51 13.04010 15.05450 12.47940 13.35950 16 112
#> 36 1418.94 13.20170 15.18740 12.60690 13.52300 16 112
#> 37 1418.52 13.34050 15.25530 12.69030 13.65650 16 112
#> 38 1418.36 13.37370 15.22970 12.68750 13.68070 16 112
#> 39 1418.06 13.40110 15.13910 12.64770 13.68500 16 112
#> 40 1417.51 13.43880 14.93790 12.55190 13.66830 16 112
#> 41 1416.28 13.54310 14.48840 12.34650 13.63650 16 112
#> 42 1412.63 13.81930 13.15790 11.73050 13.50180 16 112
#> 43 1407.84 14.02130 11.77100 11.06010 13.29600 16 112
#> 44 1396.03 14.26380 9.51721 9.94067 12.90450 16 112
#> 45 1395.16 14.29720 9.34148 9.85834 12.88540 16 112
#> 46 1393.35 14.74660 9.26154 9.97137 13.20540 16 112
#> 47 1392.09 15.37510 9.54412 10.34430 13.74600 16 112
#> 48 1391.28 15.54000 9.56985 10.42690 13.86320 16 112
#> 49 1389.36 15.99990 9.88680 10.78810 14.24390 16 112
#> 50 1383.23 16.82190 10.23320 11.36040 14.80120 16 112
#> 51 1369.52 18.30030 10.88910 12.42670 15.78270 16 112
#> 52 1369.33 17.92850 10.52810 12.09090 15.44410 16 112
#> 53 1368.42 17.88140 10.44130 12.04870 15.36520 16 112
#> 54 1366.48 17.61510 10.38310 11.94490 15.13790 16 112
#> 55 1363.06 16.78580 10.04080 11.47630 14.45060 16 112
#> 56 1362.31 13.82850 8.69583 9.76333 11.93010 16 112
#> 57 1357.67 15.93530 9.66199 10.99520 13.73650 16 112
#> 58 1355.79 15.74690 9.56148 10.89120 13.57230 16 112
#> 59 1355.65 15.58150 9.41209 10.79040 13.40820 16 112
#> 60 1355.00 15.68560 9.44333 10.83690 13.49060 16 112
#> 61 1354.90 15.68560 9.41837 10.83000 13.49110 16 112
#> 62 1354.80 15.68740 9.37022 10.82650 13.48340 16 112
#> 63 1354.61 15.70510 9.29862 10.83830 13.48970 16 112
#> 64 1353.66 15.72660 8.80199 10.87760 13.46370 16 112
#> 65 1352.13 15.77960 8.26341 10.97590 13.48090 16 112
#> 66 1349.69 15.87630 7.49375 11.15190 13.53640 16 112
#> 67 1348.18 16.29090 6.02434 11.68150 13.86540 16 112
#> 68 1346.34 16.71400 6.71746 11.93300 14.29090 16 112
#> 69 1345.37 16.43280 6.82777 11.72850 14.04620 16 112
#> 70 1345.16 16.42540 6.64103 11.76870 14.03860 16 112
#> 71 1345.13 16.45730 6.57512 11.81440 14.06960 16 112
#> 72 1345.11 16.48070 6.56530 11.85440 14.09680 16 112
#> 73 1345.06 16.47850 6.55807 11.89300 14.10530 16 112
#> 74 1344.80 16.45650 6.57700 12.10850 14.14470 16 112
#> 75 1344.41 16.39200 6.57185 12.45800 14.18110 16 112
#> 76 1343.45 16.19350 6.59046 13.30500 14.23230 16 112
#> 77 1341.39 15.78050 6.60390 15.30820 14.37450 16 112
#> 78 1337.19 15.05110 6.65227 19.61790 14.76860 16 112
#> 79 1327.88 13.93180 6.70938 28.02470 15.71720 16 112
#> 80 1302.82 12.80220 6.76827 38.86270 17.14170 16 112
#> 81 1284.74 12.33980 6.79452 43.29190 17.72490 16 112
#> 82 1282.34 12.76410 6.77007 41.87900 17.70010 16 112
#> 83 1279.32 13.15660 6.72522 39.98650 17.56910 16 112
#> 84 1277.51 13.16020 6.62288 41.20580 17.80480 16 112
#> 85 1276.86 13.41570 6.58475 40.84230 17.89380 16 112
#> 86 1276.27 13.89050 6.52270 40.70480 18.16860 16 112
#> 87 1276.13 14.08000 6.52653 40.79190 18.30560 16 112
#> 88 1276.05 14.20080 6.54900 40.96770 18.41330 16 112
#> 89 1276.01 14.20620 6.56174 41.01130 18.41290 16 112
#> 90 1275.87 14.31720 6.60695 41.11430 18.43160 16 112
#> 91 1275.68 14.34790 6.62197 41.15470 18.37020 16 112
#> 92 1273.84 14.55290 6.75451 41.40800 17.47950 16 112
#> 93 1271.14 14.86770 6.88971 41.58780 15.89640 16 112
#> 94 1269.45 15.41650 6.99641 41.70710 12.99820 16 112
#> 95 1267.17 15.67980 6.82707 41.49850 14.43090 16 112
#> 96 1266.02 15.77030 6.69588 41.32660 14.35680 16 112
#> 97 1265.63 15.43280 6.57327 41.14070 14.04780 16 112
#> 98 1265.59 15.43120 6.59821 41.17400 14.03770 16 112
#> 99 1265.59 15.40390 6.59947 41.18690 14.02430 16 112
#> 100 1265.59 15.39370 6.59984 41.19000 14.02580 16 112
#>
#> Trying to generate job results...
#>
#> Generating Overall.csv
#> Generating EtaEta.csv
#> Generating Eta.csv
#> Generating EtaStacked.csv
#> Generating bluptable.dat
#> Generating ConvergenceData.csv
#> Generating initest.csv
#> Generating doses.csv
#> Generating omega.csv
#> Generating omega_stderr.csv
#> Generating theta.csv
#> Generating thetaCorrelation.csv
#> Generating thetaCovariance.csv
#> Generating Covariance.csv
#> Generating Residuals.csv
#> Generating posthoc.csv
#>
#> Finished summarizing results. Transferring data and loading the results...
#> Done generating job results.
xp <- xposeNlmeModel(
model = model,
fitmodelOutput = fit
)
# }