CRAN Package Check Results for Package lacunr

Last updated on 2024-09-18 01:49:19 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.1 45.46 98.25 143.71 NOTE
r-devel-linux-x86_64-debian-gcc 1.0.1 32.74 70.06 102.80 NOTE
r-devel-linux-x86_64-fedora-clang 1.0.1 243.99 OK
r-devel-linux-x86_64-fedora-gcc 1.0.1 261.35 OK
r-devel-windows-x86_64 1.0.1 55.00 128.00 183.00 NOTE
r-patched-linux-x86_64 1.0.1 49.05 89.16 138.21 OK
r-release-linux-x86_64 1.0.1 46.76 89.95 136.71 OK
r-release-macos-arm64 1.0.1 78.00 OK
r-release-macos-x86_64 1.0.1 187.00 OK
r-release-windows-x86_64 1.0.1 59.00 133.00 192.00 OK
r-oldrel-macos-arm64 1.0.1 74.00 ERROR
r-oldrel-macos-x86_64 1.0.1 122.00 ERROR
r-oldrel-windows-x86_64 1.0.1 74.00 160.00 234.00 OK

Check Details

Version: 1.0.1
Check: Rd cross-references
Result: NOTE Found the following Rd file(s) with Rd \link{} targets missing package anchors: bounding_box.Rd: data.table voxelize.Rd: data.table Please provide package anchors for all Rd \link{} targets not in the package itself and the base packages. Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-windows-x86_64

Version: 1.0.1
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘working-with-lidR.Rmd’ ... > las_glassfire <- lidR::LAS(data = glassfire) Creation of a LAS object from data but without a header: Scale factors were set to 0.001 and XYZ coordinates were quantized to fit the scale factors. > vox <- voxelize(las_glassfire, edge_length = c(0.5, + 0.5, 0.5)) When sourcing ‘working-with-lidR.R’: Error: Input must be a data.frame or data.table Execution halted ‘lacunr-tutorial.Rmd’ using ‘UTF-8’... [6s/3s] OK ‘quick-start.Rmd’ using ‘UTF-8’... [1s/1s] OK ‘working-with-lidR.Rmd’ using ‘UTF-8’... failed Flavor: r-oldrel-macos-arm64

Version: 1.0.1
Check: running R code from vignettes
Result: ERROR Errors in running code in vignettes: when running code in ‘working-with-lidR.Rmd’ ... > las_glassfire <- lidR::LAS(data = glassfire) Creation of a LAS object from data but without a header: Scale factors were set to 0.001 and XYZ coordinates were quantized to fit the scale factors. > vox <- voxelize(las_glassfire, edge_length = c(0.5, + 0.5, 0.5)) When sourcing ‘working-with-lidR.R’: Error: Input must be a data.frame or data.table Execution halted ‘lacunr-tutorial.Rmd’ using ‘UTF-8’... [7s/6s] OK ‘quick-start.Rmd’ using ‘UTF-8’... [1s/1s] OK ‘working-with-lidR.Rmd’ using ‘UTF-8’... failed Flavor: r-oldrel-macos-x86_64