CRAN Package Check Results for Package xrf

Last updated on 2025-12-04 09:50:11 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.2 9.39 99.81 109.20 OK
r-devel-linux-x86_64-debian-gcc 0.2.2 6.93 66.37 73.30 OK
r-devel-linux-x86_64-fedora-clang 0.2.2 65.00 116.64 181.64 ERROR
r-devel-linux-x86_64-fedora-gcc 0.2.2 54.00 114.57 168.57 ERROR
r-devel-windows-x86_64 0.2.2 10.00 98.00 108.00 OK
r-patched-linux-x86_64 0.2.2 9.76 86.81 96.57 OK
r-release-linux-x86_64 0.2.2 8.59 88.52 97.11 OK
r-release-macos-arm64 0.2.2 OK
r-release-macos-x86_64 0.2.2 9.00 81.00 90.00 OK
r-release-windows-x86_64 0.2.2 10.00 114.00 124.00 OK
r-oldrel-macos-arm64 0.2.2 OK
r-oldrel-macos-x86_64 0.2.2 7.00 63.00 70.00 OK
r-oldrel-windows-x86_64 0.2.2 16.00 124.00 140.00 OK

Check Details

Version: 0.2.2
Check: examples
Result: ERROR Running examples in ‘xrf-Ex.R’ failed The error most likely occurred in: > ### Name: summary.xrf > ### Title: Summarize an eXtreme RuleFit model > ### Aliases: summary.xrf > > ### ** Examples > > m <- xrf(Petal.Length ~ ., iris, + xgb_control = list(nrounds = 2, max_depth = 2), + family = 'gaussian') Warning in throw_err_or_depr_msg("Parameter(s) have been removed from this function: ", : Parameter(s) have been removed from this function: params. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Passed unrecognized parameters: ", paste(head(names_unrecognized), : Passed unrecognized parameters: verbose. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'data' has been renamed to 'x'. This warning will become an error in a future version. Warning in throw_err_or_depr_msg("Parameter '", match_old, "' has been renamed to '", : Parameter 'label' has been renamed to 'y'. This warning will become an error in a future version. > summary(m) An eXtreme RuleFit model of 11 rules. Original Formula: Petal.Length ~ Sepal.Length + Sepal.Width + Petal.Width + Species Tree model: Error in h(simpleError(msg, call)) : error in evaluating the argument 'object' in selecting a method for function 'show': length of 'dimnames' [1] not equal to array extent Calls: summary ... summary.default -> array -> .handleSimpleError -> h Execution halted Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.2.2
Check: tests
Result: ERROR Running ‘testthat.R’ [24s/68s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(xrf) > > test_check("xrf") Saving _problems/test_model-39.R Saving _problems/test_model-48.R Saving _problems/test_model-56.R [ FAIL 3 | WARN 44 | SKIP 0 | PASS 12 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_model.R:38:3'): model from dense design matrix has expected fields ── Error in `process.y.margin.and.objective(y, base_margin, objective, params)`: Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic Backtrace: ▆ 1. ├─xrf::xrf(...) at test_model.R:38:3 2. └─xrf:::xrf.formula(...) 3. └─xgboost::xgboost(...) 4. └─xgboost:::process.y.margin.and.objective(...) ── Error ('test_model.R:47:3'): model from sparse design matrix has expected fields ── Error in `process.y.margin.and.objective(y, base_margin, objective, params)`: Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic Backtrace: ▆ 1. ├─xrf::xrf(...) at test_model.R:47:3 2. └─xrf:::xrf.formula(...) 3. └─xgboost::xgboost(...) 4. └─xgboost:::process.y.margin.and.objective(...) ── Error ('test_model.R:54:3'): model predicts binary outcome ────────────────── Error in `process.y.margin.and.objective(y, base_margin, objective, params)`: Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic Backtrace: ▆ 1. ├─xrf::xrf(...) at test_model.R:54:3 2. └─xrf:::xrf.formula(...) 3. └─xgboost::xgboost(...) 4. └─xgboost:::process.y.margin.and.objective(...) [ FAIL 3 | WARN 44 | SKIP 0 | PASS 12 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.2.2
Check: tests
Result: ERROR Running ‘testthat.R’ [24s/62s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > library(testthat) > library(xrf) > > test_check("xrf") Saving _problems/test_model-39.R Saving _problems/test_model-48.R Saving _problems/test_model-56.R [ FAIL 3 | WARN 44 | SKIP 0 | PASS 12 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test_model.R:38:3'): model from dense design matrix has expected fields ── Error in `process.y.margin.and.objective(y, base_margin, objective, params)`: Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic Backtrace: ▆ 1. ├─xrf::xrf(...) at test_model.R:38:3 2. └─xrf:::xrf.formula(...) 3. └─xgboost::xgboost(...) 4. └─xgboost:::process.y.margin.and.objective(...) ── Error ('test_model.R:47:3'): model from sparse design matrix has expected fields ── Error in `process.y.margin.and.objective(y, base_margin, objective, params)`: Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic Backtrace: ▆ 1. ├─xrf::xrf(...) at test_model.R:47:3 2. └─xrf:::xrf.formula(...) 3. └─xgboost::xgboost(...) 4. └─xgboost:::process.y.margin.and.objective(...) ── Error ('test_model.R:54:3'): model predicts binary outcome ────────────────── Error in `process.y.margin.and.objective(y, base_margin, objective, params)`: Got numeric 'y' - supported objectives for this data are: reg:squarederror, reg:squaredlogerror, reg:logistic, reg:pseudohubererror, reg:absoluteerror, reg:quantileerror, count:poisson, reg:gamma, reg:tweedie. Was passed: binary:logistic Backtrace: ▆ 1. ├─xrf::xrf(...) at test_model.R:54:3 2. └─xrf:::xrf.formula(...) 3. └─xgboost::xgboost(...) 4. └─xgboost:::process.y.margin.and.objective(...) [ FAIL 3 | WARN 44 | SKIP 0 | PASS 12 ] Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-fedora-gcc