revdep/problems.md

In AFIT-R/vip: Variable Importance Plots

moreparty

• Version: 0.3.1
• GitHub: NA
• Source code: https://github.com/cran/moreparty
• Date/Publication: 2023-04-02 13:20:02 UTC
• Number of recursive dependencies: 164

Run revdepcheck::revdep_details(, "moreparty") for more info

Newly broken

• checking examples ... ERROR ``` Running examples in ‘moreparty-Ex.R’ failed The error most likely occurred in:

  Name: EasyTreeVarImp

  Title: Variable importance for conditional inference trees.

  Aliases: EasyTreeVarImp

  Keywords: tree

  ** Examples

  data(iris) iris2 = iris iris2$Species = factor(iris$Species == "versicolor") iris.ct = partykit::ctree(Species ~ ., data = iris2) EasyTreeVarImp(iris.ct, nsim = 1) Error: metric() must be a function with arguments truth and estimate; consider using one of the vector metric functions from the yardstick package (e.g., metric = yardstick::huber_loss_vec). Execution halted ```

• checking dependencies in R code ... WARNING Missing or unexported object: ‘vip::vint’

• checking Rd cross-references ... WARNING ``` Missing link or links in documentation object 'GetInteractionStrength.Rd': ‘vint’

  See section 'Cross-references' in the 'Writing R Extensions' manual. ```

prettyglm

• Version: 1.0.0
• GitHub: NA
• Source code: https://github.com/cran/prettyglm
• Date/Publication: 2022-12-13 13:20:02 UTC
• Number of recursive dependencies: 114

Run revdepcheck::revdep_details(, "prettyglm") for more info

Newly broken

• checking examples ... ERROR ``` Running examples in ‘prettyglm-Ex.R’ failed The error most likely occurred in:

  Name: pretty_coefficients

  Title: pretty_coefficients

  Aliases: pretty_coefficients

  ** Examples

  ... pretty_coefficients(survival_model3, + relativity_transform = 'exp(estimate)-1', + spline_seperator = '_', + vimethod = 'permute', + target = 'Survived', + metric = 'auc', + pred_wrapper = predict.glm, + reference_class = 0) Error: Metric "auc" is not supported; use vip::list_metrics() to print a list of currently supported metrics. Alternatively, you can pass in a yardstick vector function directly (e.g., metric = yardstick::poisson_log_loss_vec (just be sure to also set the smaller_is_better argument. Execution halted ```

SAEforest

• Version: 1.0.0
• GitHub: https://github.com/krennpa/SAEforest
• Source code: https://github.com/cran/SAEforest
• Date/Publication: 2022-09-07 17:50:06 UTC
• Number of recursive dependencies: 122

Run revdepcheck::revdep_details(, "SAEforest") for more info

Newly broken

• checking dependencies in R code ... WARNING Missing or unexported object: ‘vip::grid.arrange’

In both

• checking data for non-ASCII characters ... NOTE Note: found 37 marked Latin-1 strings Note: found 172 marked UTF-8 strings

waywiser

• Version: 0.4.0
• GitHub: https://github.com/ropensci/waywiser
• Source code: https://github.com/cran/waywiser
• Date/Publication: 2023-05-17 16:10:02 UTC
• Number of recursive dependencies: 172

Run revdepcheck::revdep_details(, "waywiser") for more info

Newly broken

• checking examples ... ERROR ``` Running examples in ‘waywiser-Ex.R’ failed The error most likely occurred in:

  Name: predict.ww_area_of_applicability

  Title: Predict from a 'ww_area_of_applicability'

  Aliases: predict.ww_area_of_applicability

  ** Examples

  Don't show:

  ...

  vi
  

  train <- gen_friedman(1000, seed = 101) test <- train[701:1000, ] train <- train[1:700, ] pp <- stats::ppr(y ~ ., data = train, nterms = 11) importance <- vi_permute(pp, target = "y", metric = "rsquared", pred_wrapper = predict) Error: Metric "rsquared" is not supported; use vip::list_metrics() to print a list of currently supported metrics. Alternatively, you can pass in a yardstick vector function directly (e.g., metric = yardstick::poisson_log_loss_vec (just be sure to also set the smaller_is_better argument. Execution halted ```

• checking tests ... ``` Running ‘testthat.R’ ERROR Running the tests in ‘tests/testthat.R’ failed. Last 13 lines of output:

  1. └─vip:::vi_permute.default(...)
  2. └─vip:::get_metric(metric) ── Error ('test-tidy_importance.R:6:3'): tidy_importance is idempotent ───────── Error: Metric "rsquared" is not supported; use vip::list_metrics() to print a list of currently supported metrics. Alternatively, you can pass in a yardstick vector function directly (e.g., metric = yardstick::poisson_log_loss_vec (just be sure to also set the smaller_is_better argument. Backtrace: ▆
  3. ├─vip::vi_permute(pp, target = "y", metric = "rsquared", pred_wrapper = predict) at test-tidy_importance.R:6:2
  4. └─vip:::vi_permute.default(...)
  5. └─vip:::get_metric(metric)

  [ FAIL 3 | WARN 0 | SKIP 136 | PASS 251 ] Deleting unused snapshots: • srr-ww_local_getis_ord_pvalue.md Error: Test failures Execution halted ```

In both

• checking data for non-ASCII characters ... NOTE Note: found 1 marked UTF-8 string

AFIT-R/vip documentation built on Aug. 22, 2023, 8:59 a.m.