Last updated on 2026-05-30 06:51:06 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 9.3.0 | NOTE | ||||
| r-devel-linux-x86_64-debian-gcc | 9.3.0 | 7.65 | 522.80 | 530.45 | NOTE | |
| r-devel-linux-x86_64-fedora-clang | 9.3.0 | 19.00 | 651.56 | 670.56 | 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 | 19.00 | 98.00 | 117.00 | OK | --no-examples --no-tests --no-vignettes |
| r-patched-linux-x86_64 | 9.3.0 | 12.56 | 446.11 | 458.67 | NOTE | |
| r-release-linux-x86_64 | 9.3.0 | 10.67 | 464.49 | 475.16 | 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 | 15.00 | 97.00 | 112.00 | 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 | 22.00 | 73.00 | 95.00 | OK | --no-examples --no-tests --no-vignettes |
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’ [12s/15s]
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/10s]
Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK
Running ‘LKrig.lnPLike.test.R’ [29s/38s]
Running ‘LKrig.nullspace.test.R’ [7s/10s]
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’ [42s/52s]
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’ [57s/73s]
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’ [97s/121s]
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’ [19s/23s]
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/15s]
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/8s]
Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK
Running ‘LKrig.lnPLike.test.R’ [50s/60s]
Running ‘LKrig.nullspace.test.R’ [7s/10s]
Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK
Running ‘LKrig.precision.test.R’ [13s/19s]
Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK
Running ‘LKrig.se.test.R’ [82s/92s]
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’ [16s/20s]
Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK
Running ‘LKrig.test.Nonstationary.R’ [5s/6s]
Running ‘LKrig.test.R’ [73s/92s]
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’ [118s/145s]
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’ [19s/24s]
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/38s]
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/58s]
Running ‘LKrig.basis.test.R’ [5s/10s]
Comparing ‘LKrig.basis.test.Rout’ to ‘LKrig.basis.test.Rout.save’ ... OK
Running ‘LKrig.fixedPart.test.R’ [10s/20s]
Comparing ‘LKrig.fixedPart.test.Rout’ to ‘LKrig.fixedPart.test.Rout.save’ ... OK
Running ‘LKrig.lnPLike.test.R’ [43s/88s]
Running ‘LKrig.nullspace.test.R’ [10s/15s]
Comparing ‘LKrig.nullspace.test.Rout’ to ‘LKrig.nullspace.test.Rout.save’ ... OK
Running ‘LKrig.precision.test.R’ [20s/47s]
Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK
Running ‘LKrig.se.test.R’ [56s/115s]
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/42s]
Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK
Running ‘LKrig.test.Nonstationary.R’ [7s/14s]
Running ‘LKrig.test.R’ [86s/167s]
Comparing ‘LKrig.test.Rout’ to ‘LKrig.test.Rout.save’ ... OK
Running ‘LKrig.test.inverse.R’ [5s/10s]
Comparing ‘LKrig.test.inverse.Rout’ to ‘LKrig.test.inverse.Rout.save’ ... OK
Running ‘LKrig.testFindAwght.R’ [131s/243s]
Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK
Running ‘LKrigMarginalVariance.test.R’ [5s/12s]
Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK
Running ‘LKrigNormalizeBasis.test.R’ [24s/42s]
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’ [12s/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/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’ [31s/39s]
Running ‘LKrig.nullspace.test.R’ [7s/8s]
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’ [48s/63s]
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’ [55s/65s]
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’ [100s/126s]
Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK
Running ‘LKrigMarginalVariance.test.R’ [3s/3s]
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’ [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’ [11s/12s]
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’ [30s/37s]
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/14s]
Comparing ‘LKrig.precision.test.Rout’ to ‘LKrig.precision.test.Rout.save’ ... OK
Running ‘LKrig.se.test.R’ [44s/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/17s]
Comparing ‘LKrig.test.3D.Rout’ to ‘LKrig.test.3D.Rout.save’ ... OK
Running ‘LKrig.test.Nonstationary.R’ [5s/6s]
Running ‘LKrig.test.R’ [57s/70s]
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’ [107s/130s]
Comparing ‘LKrig.testFindAwght.Rout’ to ‘LKrig.testFindAwght.Rout.save’ ... OK
Running ‘LKrigMarginalVariance.test.R’ [3s/3s]
Comparing ‘LKrigMarginalVariance.test.Rout’ to ‘LKrigMarginalVariance.test.Rout.save’ ... OK
Running ‘LKrigNormalizeBasis.test.R’ [24s/26s]
Comparing ‘LKrigNormalizeBasis.test.Rout’ to ‘LKrigNormalizeBasis.test.Rout.save’ ... OK
Running ‘LKrigSetup.test.R’ [1s/2s]
Flavor: r-release-linux-x86_64