Running ‘testthat.R’ [59s/69s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(forecastHybrid) # nolint: unused_import_linter
  Loading required package: forecast
  Loading required package: thief
  > library(testthat)
  > 
  > test_check("forecastHybrid")
  Saving _problems/test-accuracy-10.R
  Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
  ############
  auto.arima with weight 0.2 
  ############
  ets with weight 0.2 
  ############
  thetam with weight 0.2 
  ############
  nnetar with weight 0.2 
  ############
  tbats with weight 0.2 
  Hybrid forecast model comprised of the following models: auto.arima, ets, thetam, nnetar, tbats
  ############
  auto.arima with weight 0.2 
  ############
  ets with weight 0.2 
  ############
  thetam with weight 0.2 
  ############
  nnetar with weight 0.2 
  ############
  tbats with weight 0.2 
  Saving _problems/test-generics-26.R
  Saving _problems/test-hybridModel-62.R
  Saving _problems/test-hybridModel-74.R
  Saving _problems/test-hybridModel-195.R
  Saving _problems/test-theta-65.R
  [ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
  
  ══ Skipped tests (2) ═══════════════════════════════════════════════════════════
  • On CRAN (2): 'test-cvts.R:51:1', 'test-forecast.hybridModel.R:25:1'
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test-accuracy.R:10:3'): Accuracy generic function works ───────────
  `accuracy(hm$thetam)` threw an error.
  Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
  Class:   simpleError/error/condition
  Backtrace:
      ▆
   1. ├─testthat::expect_error(accuracy(hm$thetam), NA) at test-accuracy.R:10:3
   2. │ └─testthat:::quasi_capture(...)
   3. │   ├─testthat (local) .capture(...)
   4. │   │ └─base::withCallingHandlers(...)
   5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
   6. └─generics::accuracy(hm$thetam)
  ── Failure ('test-generics.R:26:3'): Testing generics is.hybridModel(), fitted(), residuals(), and accuracy() ──
  `accuracy(exampleModel, individual = TRUE)` threw an error.
  Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
  Class:   simpleError/error/condition
  Backtrace:
      ▆
   1. ├─testthat::expect_error(...) at test-generics.R:26:3
   2. │ └─testthat:::quasi_capture(...)
   3. │   ├─testthat (local) .capture(...)
   4. │   │ └─base::withCallingHandlers(...)
   5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
   6. ├─generics::accuracy(exampleModel, individual = TRUE)
   7. └─forecastHybrid:::accuracy.hybridModel(exampleModel, individual = TRUE)
   8.   └─forecast::accuracy(object[[model]])
  ── Error ('test-hybridModel.R:62:3'): Testing for warnings ─────────────────────
  Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(hybridModel(ts(1:20, f = 2), weight = "insample.errors")) at test-hybridModel.R:62:3
    2. │ └─testthat:::quasi_capture(...)
    3. │   ├─testthat (local) .capture(...)
    4. │   │ └─base::withCallingHandlers(...)
    5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
    6. └─forecastHybrid::hybridModel(ts(1:20, f = 2), weight = "insample.errors")
    7.   └─base::sapply(expandedModels, weightFunction)
    8.     └─base::lapply(X = X, FUN = FUN, ...)
    9.       └─forecastHybrid (local) FUN(X[[i]], ...)
   10.         └─generics::accuracy(modResults[[getModelName(x)]])
  ── Error ('test-hybridModel.R:73:3'): Testing valid inputs ─────────────────────
  Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(...) at test-hybridModel.R:73:3
    2. │ └─testthat:::quasi_capture(...)
    3. │   ├─testthat (local) .capture(...)
    4. │   │ └─base::withCallingHandlers(...)
    5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
    6. └─forecastHybrid::hybridModel(inputSeries, models = "aensft", weights = "insample.errors")
    7.   └─base::sapply(expandedModels, weightFunction)
    8.     └─base::lapply(X = X, FUN = FUN, ...)
    9.       └─forecastHybrid (local) FUN(X[[i]], ...)
   10.         └─generics::accuracy(modResults[[getModelName(x)]])
  ── Error ('test-hybridModel.R:194:7'): Testing the weighting methods ───────────
  Error in `UseMethod("accuracy")`: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
  Backtrace:
       ▆
    1. ├─testthat::expect_warning(...) at test-hybridModel.R:194:7
    2. │ └─testthat:::quasi_capture(...)
    3. │   ├─testthat (local) .capture(...)
    4. │   │ └─base::withCallingHandlers(...)
    5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
    6. └─forecastHybrid::hybridModel(inputSeries, models = models, weights = weight)
    7.   └─base::sapply(expandedModels, weightFunction)
    8.     └─base::lapply(X = X, FUN = FUN, ...)
    9.       └─forecastHybrid (local) FUN(X[[i]], ...)
   10.         └─generics::accuracy(modResults[[getModelName(x)]])
  ── Failure ('test-theta.R:65:3'): Generic `forecast` methods work on thetam objects ──
  `accuracy(mod1)` threw an error.
  Message: no applicable method for 'accuracy' applied to an object of class "c('thetam', 'ets')"
  Class:   simpleError/error/condition
  Backtrace:
      ▆
   1. ├─testthat::expect_error(accuracy(mod1), NA) at test-theta.R:65:3
   2. │ └─testthat:::quasi_capture(...)
   3. │   ├─testthat (local) .capture(...)
   4. │   │ └─base::withCallingHandlers(...)
   5. │   └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo))
   6. └─generics::accuracy(mod1)
  
  [ FAIL 6 | WARN 0 | SKIP 2 | PASS 271 ]
  Error:
  ! Test failures.
  Execution halted