CRAN Package Check Results for Package NADIA

Last updated on 2021-04-11 15:46:56 CEST.

Check Details

Version: 0.4.1
Check: LazyData
Result: NOTE
     'LazyData' is specified without a 'data' directory
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-devel-windows-x86_64-gcc10-UCRT

Version: 0.4.1
Check: dependencies in R code
Result: NOTE
    Namespaces in Imports field not imported from:
     ‘glmnet’ ‘mlr3learners’
     All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64-gcc10-UCRT, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64

Version: 0.4.1
Check: examples
Result: ERROR
    Running examples in ‘NADIA-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: PipeOpSample_B
    > ### Title: PipeOpSample_B
    > ### Aliases: PipeOpSample_B
    >
    > ### ** Examples
    >
    > {
    + graph <- PipeOpSample_B$new() %>>% mlr3learners::LearnerClassifGlmnet$new()
    + graph_learner <- GraphLearner$new(graph)
    +
    + # Task with NA
    + set.seed(1)
    + resample(tsk("pima"), graph_learner, rsmp("cv", folds = 3))
    + }
    INFO [20:12:51.364] [mlr3] Applying learner 'impute_sample_B.classif.glmnet' on task 'pima' (iter 2/3)
    Error in approx(lambda, seq(lambda), sfrac) :
     need at least two non-NA values to interpolate
    Calls: resample ... resolve.list -> signalConditionsASAP -> signalConditions
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.4.1
Check: tests
Result: ERROR
     Running ‘testthat.R’ [368s/186s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(NADIA)
     Loading required package: mlr3
     Loading required package: mlr3pipelines
     Loading required package: paradox
     >
     > test_check("NADIA")
     INFO [20:13:11.023] [mlr3] Applying learner 'impute_missMDA_MCA_PCA_FMAD_A.classif.glmnet' on task 'pima' (iter 3/5)
     [1] "Error in doTryCatch(return(expr), name, parentenv, handler): No values with no missing values\n"
     INFO [20:15:52.391] [mlr3] Applying learner 'impute_mice_B.encodeimpact.classif.glmnet' on task 'test' (iter 2/2)
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● On CRAN (18)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Error (test_A.R:51:3): Testing missMDA in A approach ────────────────────────
     Error: need at least two non-NA values to interpolate
     Backtrace:
     █
     1. ├─testthat::expect_is(...) test_A.R:51:2
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─mlr3::resample(tsk("pima"), learner, rsmp("cv", folds = 5))
     5. └─future.apply::future_lapply(...)
     6. └─future.apply:::future_xapply(...)
     7. ├─future::value(fs)
     8. └─future:::value.list(fs)
     9. ├─future::resolve(...)
     10. └─future:::resolve.list(...)
     11. └─future:::signalConditionsASAP(obj, resignal = FALSE, pos = ii)
     12. └─future:::signalConditions(...)
     ── Error (test_mlworkflow.R:92:5): Testing imputation with learnerimpute_mice_B ──
     Error: need at least two non-NA values to interpolate
     Backtrace:
     █
     1. ├─testthat::expect_is(...) test_mlworkflow.R:92:4
     2. │ └─testthat::quasi_label(enquo(object), label, arg = "object")
     3. │ └─rlang::eval_bare(expr, quo_get_env(quo))
     4. └─mlr3::resample(...)
     5. └─future.apply::future_lapply(...)
     6. └─future.apply:::future_xapply(...)
     7. ├─future::value(fs)
     8. └─future:::value.list(fs)
     9. ├─future::resolve(...)
     10. └─future:::resolve.list(...)
     11. └─future:::signalConditionsASAP(obj, resignal = FALSE, pos = ii)
     12. └─future:::signalConditions(...)
    
     [ FAIL 2 | WARN 0 | SKIP 18 | PASS 84 ]
     Error: Test failures
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.4.1
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘Errors_Statistic_and_Handling.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    --- finished re-building ‘Errors_Statistic_and_Handling.Rmd’
    
    --- re-building ‘NADIA_examples_and_motivation.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    Quitting from lines 138-156 (NADIA_examples_and_motivation.Rmd)
    Error: processing vignette 'NADIA_examples_and_motivation.Rmd' failed with diagnostics:
    need at least two non-NA values to interpolate
    --- failed re-building ‘NADIA_examples_and_motivation.Rmd’
    
    SUMMARY: processing the following file failed:
     ‘NADIA_examples_and_motivation.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-patched-solaris-x86