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CRAN Package Check Results for Package LatticeKrig

Last updated on 2026-05-20 23:50:17 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 9.3.0 11.48 453.43 464.91 NOTE
r-devel-linux-x86_64-debian-gcc 9.3.0 8.53 511.62 520.15 NOTE
r-devel-linux-x86_64-fedora-clang 9.3.0 17.00 660.36 677.36 NOTE
r-devel-linux-x86_64-fedora-gcc 9.3.0 19.00 626.45 645.45 NOTE
r-devel-windows-x86_64 9.3.0 16.00 102.00 118.00 OK --no-examples --no-tests --no-vignettes
r-patched-linux-x86_64 9.3.0 12.29 457.36 469.65 NOTE
r-release-linux-x86_64 9.3.0 11.52 455.96 467.48 NOTE
r-release-macos-arm64 9.3.0 3.00 119.00 122.00 OK
r-release-macos-x86_64 9.3.0 9.00 527.00 536.00 OK
r-release-windows-x86_64 9.3.0 17.00 82.00 99.00 OK --no-examples --no-tests --no-vignettes
r-oldrel-macos-arm64 9.3.0 OK
r-oldrel-macos-x86_64 9.3.0 9.00 501.00 510.00 OK
r-oldrel-windows-x86_64 9.3.0 21.00 72.00 93.00 OK --no-examples --no-tests --no-vignettes

Check Details

Version: 9.3.0
Check: tests
Result: NOTE Running ‘LKrig.FindNorm.test.R’ [12s/16s] Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK Running ‘LKrig.LKCylinder.test.R’ [2s/3s] Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK Running ‘LKrig.LKSphere.test.R’ [13s/16s] Running ‘LKrig.basis.test.R’ [3s/4s] Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK Running ‘LKrig.fixedPart.test.R’ [7s/8s] Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK Running ‘LKrig.lnPLike.test.R’ [29s/37s] Running ‘LKrig.nullspace.test.R’ [7s/11s] Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK Running ‘LKrig.precision.test.R’ [12s/16s] Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK Running ‘LKrig.se.test.R’ [43s/53s] Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ... 24,79d23 < Warning message: < In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov", : < Z as an arguments has been renamed to XMat within the function < to be more consistent with spatial process model notation. < Please use the XMat argument in the call to Krig avoid this warning. < Warning messages: < 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. Running ‘LKrig.test.3D.R’ [13s/17s] Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK Running ‘LKrig.test.Nonstationary.R’ [5s/6s] Running ‘LKrig.test.R’ [56s/71s] Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK Running ‘LKrig.test.inverse.R’ [3s/5s] Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK Running ‘LKrig.testFindAwght.R’ [100s/124s] Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK Running ‘LKrigMarginalVariance.test.R’ [3s/4s] Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK Running ‘LKrigNormalizeBasis.test.R’ [20s/24s] Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK Running ‘LKrigSetup.test.R’ [1s/2s] Flavor: r-devel-linux-x86_64-debian-clang

Version: 9.3.0
Check: tests
Result: NOTE Running ‘LKrig.FindNorm.test.R’ [12s/17s] Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK Running ‘LKrig.LKCylinder.test.R’ [2s/2s] Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK Running ‘LKrig.LKSphere.test.R’ [7s/10s] Running ‘LKrig.basis.test.R’ [3s/4s] Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK Running ‘LKrig.fixedPart.test.R’ [7s/9s] Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK Running ‘LKrig.lnPLike.test.R’ [43s/54s] Running ‘LKrig.nullspace.test.R’ [7s/9s] Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK Running ‘LKrig.precision.test.R’ [14s/18s] Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK Running ‘LKrig.se.test.R’ [46s/51s] Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ... 24,79d23 < Warning message: < In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov", : < Z as an arguments has been renamed to XMat within the function < to be more consistent with spatial process model notation. < Please use the XMat argument in the call to Krig avoid this warning. < Warning messages: < 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. Running ‘LKrig.test.3D.R’ [13s/15s] Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK Running ‘LKrig.test.Nonstationary.R’ [5s/5s] Running ‘LKrig.test.R’ [79s/95s] Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK Running ‘LKrig.test.inverse.R’ [3s/3s] Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK Running ‘LKrig.testFindAwght.R’ [134s/158s] Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK Running ‘LKrigMarginalVariance.test.R’ [3s/4s] Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK Running ‘LKrigNormalizeBasis.test.R’ [22s/27s] Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK Running ‘LKrigSetup.test.R’ [1s/1s] Flavor: r-devel-linux-x86_64-debian-gcc

Version: 9.3.0
Check: tests
Result: NOTE Running ‘LKrig.FindNorm.test.R’ [17s/22s] Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK Running ‘LKrig.LKCylinder.test.R’ Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK Running ‘LKrig.LKSphere.test.R’ [20s/27s] Running ‘LKrig.basis.test.R’ Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK Running ‘LKrig.fixedPart.test.R’ [10s/15s] Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK Running ‘LKrig.lnPLike.test.R’ [44s/58s] Running ‘LKrig.nullspace.test.R’ [10s/13s] Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK Running ‘LKrig.precision.test.R’ [22s/30s] Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK Running ‘LKrig.se.test.R’ [62s/80s] Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ... 24,79d23 < Warning message: < In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov", : < Z as an arguments has been renamed to XMat within the function < to be more consistent with spatial process model notation. < Please use the XMat argument in the call to Krig avoid this warning. < Warning messages: < 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. Running ‘LKrig.test.3D.R’ [21s/29s] Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK Running ‘LKrig.test.Nonstationary.R’ [7s/10s] Running ‘LKrig.test.R’ [80s/103s] Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK Running ‘LKrig.test.inverse.R’ Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK Running ‘LKrig.testFindAwght.R’ [138s/190s] Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK Running ‘LKrigMarginalVariance.test.R’ Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK Running ‘LKrigNormalizeBasis.test.R’ [27s/34s] Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK Running ‘LKrigSetup.test.R’ Flavor: r-devel-linux-x86_64-fedora-clang

Version: 9.3.0
Check: tests
Result: NOTE Running ‘LKrig.FindNorm.test.R’ [16s/20s] Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK Running ‘LKrig.LKCylinder.test.R’ Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK Running ‘LKrig.LKSphere.test.R’ [17s/20s] Running ‘LKrig.basis.test.R’ Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK Running ‘LKrig.fixedPart.test.R’ [12s/15s] Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK Running ‘LKrig.lnPLike.test.R’ [41s/52s] Running ‘LKrig.nullspace.test.R’ [11s/15s] Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK Running ‘LKrig.precision.test.R’ [24s/29s] Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK Running ‘LKrig.se.test.R’ [57s/71s] Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ... 24,79d23 < Warning message: < In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov", : < Z as an arguments has been renamed to XMat within the function < to be more consistent with spatial process model notation. < Please use the XMat argument in the call to Krig avoid this warning. < Warning messages: < 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. Running ‘LKrig.test.3D.R’ [20s/25s] Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK Running ‘LKrig.test.Nonstationary.R’ [7s/10s] Running ‘LKrig.test.R’ [80s/96s] Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK Running ‘LKrig.test.inverse.R’ Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK Running ‘LKrig.testFindAwght.R’ [127s/150s] Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK Running ‘LKrigMarginalVariance.test.R’ Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK Running ‘LKrigNormalizeBasis.test.R’ [24s/29s] Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK Running ‘LKrigSetup.test.R’ Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 9.3.0
Check: tests
Result: NOTE Running ‘LKrig.FindNorm.test.R’ [11s/14s] Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK Running ‘LKrig.LKCylinder.test.R’ [2s/3s] Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK Running ‘LKrig.LKSphere.test.R’ [11s/14s] Running ‘LKrig.basis.test.R’ [3s/4s] Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK Running ‘LKrig.fixedPart.test.R’ [7s/8s] Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK Running ‘LKrig.lnPLike.test.R’ [33s/41s] Running ‘LKrig.nullspace.test.R’ [7s/9s] Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK Running ‘LKrig.precision.test.R’ [13s/16s] Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK Running ‘LKrig.se.test.R’ [42s/54s] Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ... 24,79d23 < Warning message: < In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov", : < Z as an arguments has been renamed to XMat within the function < to be more consistent with spatial process model notation. < Please use the XMat argument in the call to Krig avoid this warning. < Warning messages: < 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. Running ‘LKrig.test.3D.R’ [13s/16s] Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK Running ‘LKrig.test.Nonstationary.R’ [5s/6s] Running ‘LKrig.test.R’ [66s/79s] Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK Running ‘LKrig.test.inverse.R’ [3s/4s] Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK Running ‘LKrig.testFindAwght.R’ [97s/112s] Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK Running ‘LKrigMarginalVariance.test.R’ [3s/4s] Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK Running ‘LKrigNormalizeBasis.test.R’ [18s/23s] Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK Running ‘LKrigSetup.test.R’ [1s/2s] Flavor: r-patched-linux-x86_64

Version: 9.3.0
Check: tests
Result: NOTE Running ‘LKrig.FindNorm.test.R’ [11s/15s] Comparing ‘LKrig.FindNorm.test.Rout’ to ‘LKrig.FindNorm.test.Rout.save’ ... OK Running ‘LKrig.LKCylinder.test.R’ [2s/3s] Comparing ‘LKrig.LKCylinder.test.Rout’ to ‘LKrig.LKCylinder.test.Rout.save’ ... OK Running ‘LKrig.LKSphere.test.R’ [11s/16s] Running ‘LKrig.basis.test.R’ [3s/4s] Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK Running ‘LKrig.fixedPart.test.R’ [8s/10s] Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK Running ‘LKrig.lnPLike.test.R’ [30s/38s] Running ‘LKrig.nullspace.test.R’ [7s/8s] Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK Running ‘LKrig.precision.test.R’ [12s/15s] Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK Running ‘LKrig.se.test.R’ [48s/60s] Comparing ‘LKrig.se.test.Rout’ to ‘LKrig.se.test.Rout.save’ ... 24,79d23 < Warning message: < In Krig(x, y, lambda = lambda, m = 2, cov.function = "LKrig.cov", : < Z as an arguments has been renamed to XMat within the function < to be more consistent with spatial process model notation. < Please use the XMat argument in the call to Krig avoid this warning. < Warning messages: < 1: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 2: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 3: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 4: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 5: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 6: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 7: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 8: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 9: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. < 10: In predict.Krig(object, x = x0, yM = ytemp, lambda = lambda, eval.correlation.model = eval.correlation.model, : < Z, drop.Z as arguments < have been changed to XMat and drop.XMat to be more consistent < with a spatial model notation. < In the future please use these instead. Running ‘LKrig.test.3D.R’ [12s/14s] Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK Running ‘LKrig.test.Nonstationary.R’ [5s/6s] Running ‘LKrig.test.R’ [58s/68s] Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK Running ‘LKrig.test.inverse.R’ [3s/4s] Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK Running ‘LKrig.testFindAwght.R’ [105s/126s] Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK Running ‘LKrigMarginalVariance.test.R’ [3s/4s] Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK Running ‘LKrigNormalizeBasis.test.R’ [18s/21s] Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK Running ‘LKrigSetup.test.R’ [1s/2s] Flavor: r-release-linux-x86_64

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