CRAN Package Check Results for Package multiScaleR

Last updated on 2026-10-24 09:50:57 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.7.2 87.54 693.37 780.91 OK
r-devel-linux-x86_64-debian-gcc 0.7.2 64.77 475.47 540.24 ERROR
r-devel-linux-x86_64-fedora-clang 0.7.2 76.00 553.85 629.85 OK
r-devel-linux-x86_64-fedora-gcc 0.7.2 70.00 454.15 524.15 OK
r-devel-windows-x86_64 0.7.2 105.00 685.00 790.00 OK
r-patched-linux-x86_64 0.7.2 85.79 652.33 738.12 OK
r-release-linux-x86_64 0.7.2 92.91 649.94 742.85 OK
r-release-macos-arm64 0.7.2 20.00 134.00 154.00 OK
r-release-macos-x86_64 0.7.2 64.00 635.00 699.00 OK
r-release-windows-x86_64 0.7.2 100.00 572.00 672.00 OK
r-oldrel-macos-arm64 0.7.2 24.00 161.00 185.00 OK
r-oldrel-macos-x86_64 0.7.2 62.00 580.00 642.00 OK
r-oldrel-windows-x86_64 0.7.2 141.00 826.00 967.00 OK

Check Details

Version: 0.7.2
Check: tests
Result: ERROR Running ‘testthat.R’ [49s/64s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(multiScaleR) Loading required package: terra terra 1.9.50 Attaching package: 'terra' The following objects are masked from 'package:testthat': compare, describe Loading required package: sf Linking to GEOS 3.15.0, GDAL 3.13.3, PROJ 9.9.0; sf_use_s2() is TRUE > > test_check("multiScaleR") Optimization complete Optimization complete Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=6.02 to ensure accurate estimation of scale. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=227.28 to ensure accurate estimation of scale. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=227.3 to ensure accurate estimation of scale. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=181.46 to ensure accurate estimation of scale. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=181.46 to ensure accurate estimation of scale. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=11.9 to ensure accurate estimation of scale. WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=400 to ensure accurate estimation of scale. WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. WARNING!!! The standard error of one or more `shape` estimates is >= 50% of the estimated mean value. Carefully assess if the Exponential Power kernel is appropriate, whether or not this variable is meaningful in your analysis, and interpret with caution. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. WARNING!!! The standard error of one or more `shape` estimates is >= 50% of the estimated mean value. Carefully assess if the Exponential Power kernel is appropriate, whether or not this variable is meaningful in your analysis, and interpret with caution. *** Standard optimization failed *** Error message: mock standard failure Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. *** Parallel optimization failed *** Error message: mock parallel failure Parallel optimization aborted. Try running with `n_cores = 1` to use standard optimization. Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. Optimization complete WARNING!!! The estimated scale of effect approaches or exceeds the current search extent. Consider increasing max_D in `kernel_prep` to >=25.62 to ensure accurate estimation of scale. Saving _problems/test-raster-and-plotting-185.R Optimization complete WARNING!!! The standard error of one or more `sigma` estimates is >= 50% of the estimated mean value. Carefully assess whether or not this variable is meaningful in your analysis and interpret with caution. [ FAIL 1 | WARN 12 | SKIP 6 | PASS 754 ] ══ Skipped tests (6) ═══════════════════════════════════════════════════════════ • On CRAN (6): 'test-coverage-expansion.R:1:1', 'test-internals-and-helpers.R:1:1', 'test-optimization-workflow.R:906:3', 'test-optimization-workflow.R:968:3', 'test-optimization-workflow.R:1012:3', 'test-optimization-workflow.R:1056:3' ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-raster-and-plotting.R:185:3'): plot_marginal_effects uses nested analysis models for wrapped clogit fits ── Error: Failed to compute marginal effects for covariate 'cont1': subscript out of bounds Backtrace: ▆ 1. ├─testthat::expect_no_warning(plot_marginal_effects(obj, length.out = 5)) at test-raster-and-plotting.R:185:3 2. │ └─testthat:::expect_no_(...) 3. │ └─testthat:::quasi_capture(enquo(object), NULL, capture) 4. │ ├─testthat (local) .capture(...) 5. │ │ ├─base::withRestarts(...) 6. │ │ │ └─base (local) withOneRestart(expr, restarts[[1L]]) 7. │ │ │ └─base (local) doWithOneRestart(return(expr), restart) 8. │ │ └─base::withCallingHandlers(...) 9. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 10. └─multiScaleR::plot_marginal_effects(obj, length.out = 5) 11. └─base::lapply(...) 12. └─multiScaleR (local) FUN(X[[i]], ...) 13. └─base::tryCatch(...) 14. └─base (local) tryCatchList(expr, classes, parentenv, handlers) 15. └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]]) 16. └─value[[3L]](cond) [ FAIL 1 | WARN 12 | SKIP 6 | PASS 754 ] Error: ! Test failures. Warning messages: 1: In for (i in seq_len(n)) { : closing unused connection 8 (<-localhost:11164) 2: In for (i in seq_len(n)) { : closing unused connection 7 (<-localhost:11164) 3: In for (i in seq_len(n)) { : closing unused connection 6 (<-localhost:11164) 4: In for (i in seq_len(n)) { : closing unused connection 5 (<-localhost:11164) Execution halted Flavor: r-devel-linux-x86_64-debian-gcc