CRAN Package Check Results for Package fable

Last updated on 2021-04-20 05:47:32 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3.0 31.10 203.42 234.52 ERROR
r-devel-linux-x86_64-debian-gcc 0.3.0 22.75 148.76 171.51 ERROR
r-devel-linux-x86_64-fedora-clang 0.3.0 286.45 ERROR
r-devel-linux-x86_64-fedora-gcc 0.3.0 274.12 ERROR
r-devel-windows-ix86+x86_64 0.3.0 56.00 340.00 396.00 ERROR
r-devel-windows-x86_64-gcc10-UCRT 0.3.0 ERROR
r-patched-linux-x86_64 0.3.0 26.82 197.46 224.28 OK
r-patched-solaris-x86 0.3.0 348.20 OK
r-release-linux-x86_64 0.3.0 24.45 195.14 219.59 OK
r-release-macos-x86_64 0.3.0 OK
r-release-windows-ix86+x86_64 0.3.0 72.00 436.00 508.00 OK
r-oldrel-macos-x86_64 0.3.0 OK
r-oldrel-windows-ix86+x86_64 0.3.0 47.00 366.00 413.00 OK

Check Details

Version: 0.3.0
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: 0.3.0
Check: tests
Result: ERROR
     Running 'testthat.R' [25s/28s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(fable)
     Loading required package: fabletools
     >
     > test_check("fable")
     == Skipped tests ===============================================================
     * On CRAN (1)
    
     == Failed tests ================================================================
     -- Failure (test-arima.R:36:3): Manual ARIMA selection -------------------------
     coef(fable_fit$model[[1]]$fit$model) not identical to coef(stats_fit).
     target is NULL, current is numeric
     -- Failure (test-arima.R:41:3): Manual ARIMA selection -------------------------
     model_sum(fable_fit$model[[1]]) not identical to "ARIMA(0,1,1)(0,1,1)[12]".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(0,1,1)(0,1,1)[12]"
     -- Failure (test-arima.R:49:3): Manual ARIMA selection -------------------------
     fc_mean(fable_fc$value) not equivalent to unclass(stats_fc$pred).
     24/24 mismatches (average diff: NaN)
     [1] NA - 8336 == NA
     [2] NA - 7532 == NA
     [3] NA - 8315 == NA
     [4] NA - 8617 == NA
     [5] NA - 9489 == NA
     [6] NA - 9860 == NA
     [7] NA - 10907 == NA
     [8] NA - 10087 == NA
     [9] NA - 9165 == NA
     ...
     -- Failure (test-arima.R:54:3): Manual ARIMA selection -------------------------
     tidy(fable_fit)$estimate not equivalent to coef(stats_fit).
     Lengths differ: 0 is not 2
     -- Failure (test-arima.R:58:3): Manual ARIMA selection -------------------------
     fitted(fable_fit)$.fitted not equivalent to unclass(USAccDeaths - residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 9002 == NA
     [2] NA - 8104 == NA
     [3] NA - 8926 == NA
     [4] NA - 9136 == NA
     [5] NA - 10015 == NA
     [6] NA - 10824 == NA
     [7] NA - 11314 == NA
     [8] NA - 10742 == NA
     [9] NA - 9713 == NA
     ...
     -- Failure (test-arima.R:62:3): Manual ARIMA selection -------------------------
     residuals(fable_fit)$.resid not equivalent to unclass(residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 5.200 == NA
     [2] NA - 1.628 == NA
     [3] NA - 1.760 == NA
     [4] NA - 1.496 == NA
     [5] NA - 1.990 == NA
     [6] NA - 2.400 == NA
     [7] NA - 2.512 == NA
     [8] NA - 1.658 == NA
     [9] NA - 0.498 == NA
     ...
     -- Failure (test-arima.R:71:3): Manual ARIMA selection -------------------------
     `report\(fable_fit\)` does not match "log likelihood=-425.44".
     Actual value: "Series: value \\nModel: NULL model \\nNULL model"
     Backtrace:
     x
     1. \-testthat::expect_output(report(fable_fit), "log likelihood=-425.44") test-arima.R:71:2
     2. \-testthat::expect_match(...)
     -- Error (test-arima.R:78:3): Manual ARIMA selection ---------------------------
     Error: Problem with `mutate()` input `interpolated`.
     x no applicable method for 'interpolate' applied to an object of class "null_mdl"
     i Input `interpolated` is `map2(model, new_data, interpolate, ...)`.
     Backtrace:
     x
     1. +-fable_fit %>% interpolate(USAccDeaths_miss) test-arima.R:78:2
     2. +-generics::interpolate(., USAccDeaths_miss)
     3. +-fabletools:::interpolate.mdl_df(., USAccDeaths_miss)
     4. | +-dplyr::transmute(...)
     5. | \-dplyr:::transmute.data.frame(...)
     6. | +-dplyr::mutate(.data, ..., .keep = "none")
     7. | \-dplyr:::mutate.data.frame(.data, ..., .keep = "none")
     8. | \-dplyr:::mutate_cols(.data, ...)
     9. | +-base::withCallingHandlers(...)
     10. | \-mask$eval_all_mutate(quo)
     11. +-fabletools:::map2(model, new_data, interpolate, ...)
     12. | \-base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
     13. | +-(function (object, ...) ...
     14. | \-fabletools:::interpolate.mdl_ts(dots[[1L]][[1L]], dots[[2L]][[1L]])
     15. | \-generics::interpolate(...)
     16. \-base::.handleSimpleError(...)
     17. \-dplyr:::h(simpleError(msg, call))
     -- Failure (test-arima.R:93:3): Fixed ARIMA coefficients -----------------------
     tidy(fable_fit)$estimate not identical to c(0.3, 3, 20).
     Lengths differ: 0 is not 3
     -- Failure (test-arima.R:100:3): ARIMA with bad inputs -------------------------
     ``%>%`(...)` produced unexpected warnings.
     Expected match: Only one special for `pdq\\(\\)` and `PDQ\\(\\)` is allowed
     Actual values:
     * 1 error encountered for ARIMA(mdeaths ~ 1 + pdq(2, 0, 0) + pdq(d = 1) + PDQ(2, 1, 0))
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:124:3): ARIMA with bad inputs -------------------------
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:130:3): ARIMA with bad inputs -------------------------
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.3.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [18s/25s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(fable)
     Loading required package: fabletools
     >
     > test_check("fable")
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Failure (test-arima.R:36:3): Manual ARIMA selection ─────────────────────────
     coef(fable_fit$model[[1]]$fit$model) not identical to coef(stats_fit).
     target is NULL, current is numeric
     ── Failure (test-arima.R:41:3): Manual ARIMA selection ─────────────────────────
     model_sum(fable_fit$model[[1]]) not identical to "ARIMA(0,1,1)(0,1,1)[12]".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(0,1,1)(0,1,1)[12]"
     ── Failure (test-arima.R:49:3): Manual ARIMA selection ─────────────────────────
     fc_mean(fable_fc$value) not equivalent to unclass(stats_fc$pred).
     24/24 mismatches (average diff: NaN)
     [1] NA - 8336 == NA
     [2] NA - 7532 == NA
     [3] NA - 8315 == NA
     [4] NA - 8617 == NA
     [5] NA - 9489 == NA
     [6] NA - 9860 == NA
     [7] NA - 10907 == NA
     [8] NA - 10087 == NA
     [9] NA - 9165 == NA
     ...
     ── Failure (test-arima.R:54:3): Manual ARIMA selection ─────────────────────────
     tidy(fable_fit)$estimate not equivalent to coef(stats_fit).
     Lengths differ: 0 is not 2
     ── Failure (test-arima.R:58:3): Manual ARIMA selection ─────────────────────────
     fitted(fable_fit)$.fitted not equivalent to unclass(USAccDeaths - residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 9002 == NA
     [2] NA - 8104 == NA
     [3] NA - 8926 == NA
     [4] NA - 9136 == NA
     [5] NA - 10015 == NA
     [6] NA - 10824 == NA
     [7] NA - 11314 == NA
     [8] NA - 10742 == NA
     [9] NA - 9713 == NA
     ...
     ── Failure (test-arima.R:62:3): Manual ARIMA selection ─────────────────────────
     residuals(fable_fit)$.resid not equivalent to unclass(residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 5.200 == NA
     [2] NA - 1.628 == NA
     [3] NA - 1.760 == NA
     [4] NA - 1.496 == NA
     [5] NA - 1.990 == NA
     [6] NA - 2.400 == NA
     [7] NA - 2.512 == NA
     [8] NA - 1.658 == NA
     [9] NA - 0.498 == NA
     ...
     ── Failure (test-arima.R:71:3): Manual ARIMA selection ─────────────────────────
     `report\(fable_fit\)` does not match "log likelihood=-425.44".
     Actual value: "Series: value \\nModel: NULL model \\nNULL model"
     Backtrace:
     █
     1. └─testthat::expect_output(report(fable_fit), "log likelihood=-425.44") test-arima.R:71:2
     2. └─testthat::expect_match(...)
     ── Error (test-arima.R:78:3): Manual ARIMA selection ───────────────────────────
     Error: Problem with `mutate()` input `interpolated`.
     ✖ no applicable method for 'interpolate' applied to an object of class "null_mdl"
     ℹ Input `interpolated` is `map2(model, new_data, interpolate, ...)`.
     Backtrace:
     █
     1. ├─fable_fit %>% interpolate(USAccDeaths_miss) test-arima.R:78:2
     2. ├─generics::interpolate(., USAccDeaths_miss)
     3. ├─fabletools:::interpolate.mdl_df(., USAccDeaths_miss)
     4. │ ├─dplyr::transmute(...)
     5. │ └─dplyr:::transmute.data.frame(...)
     6. │ ├─dplyr::mutate(.data, ..., .keep = "none")
     7. │ └─dplyr:::mutate.data.frame(.data, ..., .keep = "none")
     8. │ └─dplyr:::mutate_cols(.data, ...)
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─fabletools:::map2(model, new_data, interpolate, ...)
     12. │ └─base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
     13. │ ├─(function (object, ...) ...
     14. │ └─fabletools:::interpolate.mdl_ts(dots[[1L]][[1L]], dots[[2L]][[1L]])
     15. │ └─generics::interpolate(...)
     16. └─base::.handleSimpleError(...)
     17. └─dplyr:::h(simpleError(msg, call))
     ── Failure (test-arima.R:93:3): Fixed ARIMA coefficients ───────────────────────
     tidy(fable_fit)$estimate not identical to c(0.3, 3, 20).
     Lengths differ: 0 is not 3
     ── Failure (test-arima.R:100:3): ARIMA with bad inputs ─────────────────────────
     ``%>%`(...)` produced unexpected warnings.
     Expected match: Only one special for `pdq\\(\\)` and `PDQ\\(\\)` is allowed
     Actual values:
     * 1 error encountered for ARIMA(mdeaths ~ 1 + pdq(2, 0, 0) + pdq(d = 1) + PDQ(2, 1, 0))
     [1] cannot add binding of 'lag' to the base environment
    
     ── Failure (test-arima.R:124:3): ARIMA with bad inputs ─────────────────────────
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     ── Failure (test-arima.R:130:3): ARIMA with bad inputs ─────────────────────────
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.3.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [28s/36s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(fable)
     Loading required package: fabletools
     >
     > test_check("fable")
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Failure (test-arima.R:36:3): Manual ARIMA selection ─────────────────────────
     coef(fable_fit$model[[1]]$fit$model) not identical to coef(stats_fit).
     target is NULL, current is numeric
     ── Failure (test-arima.R:41:3): Manual ARIMA selection ─────────────────────────
     model_sum(fable_fit$model[[1]]) not identical to "ARIMA(0,1,1)(0,1,1)[12]".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(0,1,1)(0,1,1)[12]"
     ── Failure (test-arima.R:49:3): Manual ARIMA selection ─────────────────────────
     fc_mean(fable_fc$value) not equivalent to unclass(stats_fc$pred).
     24/24 mismatches (average diff: NaN)
     [1] NA - 8336 == NA
     [2] NA - 7532 == NA
     [3] NA - 8315 == NA
     [4] NA - 8617 == NA
     [5] NA - 9489 == NA
     [6] NA - 9860 == NA
     [7] NA - 10907 == NA
     [8] NA - 10087 == NA
     [9] NA - 9165 == NA
     ...
     ── Failure (test-arima.R:54:3): Manual ARIMA selection ─────────────────────────
     tidy(fable_fit)$estimate not equivalent to coef(stats_fit).
     Lengths differ: 0 is not 2
     ── Failure (test-arima.R:58:3): Manual ARIMA selection ─────────────────────────
     fitted(fable_fit)$.fitted not equivalent to unclass(USAccDeaths - residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 9002 == NA
     [2] NA - 8104 == NA
     [3] NA - 8926 == NA
     [4] NA - 9136 == NA
     [5] NA - 10015 == NA
     [6] NA - 10824 == NA
     [7] NA - 11314 == NA
     [8] NA - 10742 == NA
     [9] NA - 9713 == NA
     ...
     ── Failure (test-arima.R:62:3): Manual ARIMA selection ─────────────────────────
     residuals(fable_fit)$.resid not equivalent to unclass(residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 5.200 == NA
     [2] NA - 1.628 == NA
     [3] NA - 1.760 == NA
     [4] NA - 1.496 == NA
     [5] NA - 1.990 == NA
     [6] NA - 2.400 == NA
     [7] NA - 2.512 == NA
     [8] NA - 1.658 == NA
     [9] NA - 0.498 == NA
     ...
     ── Failure (test-arima.R:71:3): Manual ARIMA selection ─────────────────────────
     `report\(fable_fit\)` does not match "log likelihood=-425.44".
     Actual value: "Series: value \\nModel: NULL model \\nNULL model"
     Backtrace:
     █
     1. └─testthat::expect_output(report(fable_fit), "log likelihood=-425.44") test-arima.R:71:2
     2. └─testthat::expect_match(...)
     ── Error (test-arima.R:78:3): Manual ARIMA selection ───────────────────────────
     Error: Problem with `mutate()` input `interpolated`.
     ✖ no applicable method for 'interpolate' applied to an object of class "null_mdl"
     ℹ Input `interpolated` is `map2(model, new_data, interpolate, ...)`.
     Backtrace:
     █
     1. ├─fable_fit %>% interpolate(USAccDeaths_miss) test-arima.R:78:2
     2. ├─generics::interpolate(., USAccDeaths_miss)
     3. ├─fabletools:::interpolate.mdl_df(., USAccDeaths_miss)
     4. │ ├─dplyr::transmute(...)
     5. │ └─dplyr:::transmute.data.frame(...)
     6. │ ├─dplyr::mutate(.data, ..., .keep = "none")
     7. │ └─dplyr:::mutate.data.frame(.data, ..., .keep = "none")
     8. │ └─dplyr:::mutate_cols(.data, ...)
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─fabletools:::map2(model, new_data, interpolate, ...)
     12. │ └─base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
     13. │ ├─(function (object, ...) ...
     14. │ └─fabletools:::interpolate.mdl_ts(dots[[1L]][[1L]], dots[[2L]][[1L]])
     15. │ └─generics::interpolate(...)
     16. └─base::.handleSimpleError(...)
     17. └─dplyr:::h(simpleError(msg, call))
     ── Failure (test-arima.R:93:3): Fixed ARIMA coefficients ───────────────────────
     tidy(fable_fit)$estimate not identical to c(0.3, 3, 20).
     Lengths differ: 0 is not 3
     ── Failure (test-arima.R:100:3): ARIMA with bad inputs ─────────────────────────
     ``%>%`(...)` produced unexpected warnings.
     Expected match: Only one special for `pdq\\(\\)` and `PDQ\\(\\)` is allowed
     Actual values:
     * 1 error encountered for ARIMA(mdeaths ~ 1 + pdq(2, 0, 0) + pdq(d = 1) + PDQ(2, 1, 0))
     [1] cannot add binding of 'lag' to the base environment
    
     ── Failure (test-arima.R:124:3): ARIMA with bad inputs ─────────────────────────
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     ── Failure (test-arima.R:130:3): ARIMA with bad inputs ─────────────────────────
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.3.0
Check: tests
Result: ERROR
     Running ‘testthat.R’ [29s/36s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(fable)
     Loading required package: fabletools
     >
     > test_check("fable")
     ══ Skipped tests ═══════════════════════════════════════════════════════════════
     ● On CRAN (1)
    
     ══ Failed tests ════════════════════════════════════════════════════════════════
     ── Failure (test-arima.R:36:3): Manual ARIMA selection ─────────────────────────
     coef(fable_fit$model[[1]]$fit$model) not identical to coef(stats_fit).
     target is NULL, current is numeric
     ── Failure (test-arima.R:41:3): Manual ARIMA selection ─────────────────────────
     model_sum(fable_fit$model[[1]]) not identical to "ARIMA(0,1,1)(0,1,1)[12]".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(0,1,1)(0,1,1)[12]"
     ── Failure (test-arima.R:49:3): Manual ARIMA selection ─────────────────────────
     fc_mean(fable_fc$value) not equivalent to unclass(stats_fc$pred).
     24/24 mismatches (average diff: NaN)
     [1] NA - 8336 == NA
     [2] NA - 7532 == NA
     [3] NA - 8315 == NA
     [4] NA - 8617 == NA
     [5] NA - 9489 == NA
     [6] NA - 9860 == NA
     [7] NA - 10907 == NA
     [8] NA - 10087 == NA
     [9] NA - 9165 == NA
     ...
     ── Failure (test-arima.R:54:3): Manual ARIMA selection ─────────────────────────
     tidy(fable_fit)$estimate not equivalent to coef(stats_fit).
     Lengths differ: 0 is not 2
     ── Failure (test-arima.R:58:3): Manual ARIMA selection ─────────────────────────
     fitted(fable_fit)$.fitted not equivalent to unclass(USAccDeaths - residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 9002 == NA
     [2] NA - 8104 == NA
     [3] NA - 8926 == NA
     [4] NA - 9136 == NA
     [5] NA - 10015 == NA
     [6] NA - 10824 == NA
     [7] NA - 11314 == NA
     [8] NA - 10742 == NA
     [9] NA - 9713 == NA
     ...
     ── Failure (test-arima.R:62:3): Manual ARIMA selection ─────────────────────────
     residuals(fable_fit)$.resid not equivalent to unclass(residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 5.200 == NA
     [2] NA - 1.628 == NA
     [3] NA - 1.760 == NA
     [4] NA - 1.496 == NA
     [5] NA - 1.990 == NA
     [6] NA - 2.400 == NA
     [7] NA - 2.512 == NA
     [8] NA - 1.658 == NA
     [9] NA - 0.498 == NA
     ...
     ── Failure (test-arima.R:71:3): Manual ARIMA selection ─────────────────────────
     `report\(fable_fit\)` does not match "log likelihood=-425.44".
     Actual value: "Series: value \\nModel: NULL model \\nNULL model"
     Backtrace:
     █
     1. └─testthat::expect_output(report(fable_fit), "log likelihood=-425.44") test-arima.R:71:2
     2. └─testthat::expect_match(...)
     ── Error (test-arima.R:78:3): Manual ARIMA selection ───────────────────────────
     Error: Problem with `mutate()` input `interpolated`.
     ✖ no applicable method for 'interpolate' applied to an object of class "null_mdl"
     ℹ Input `interpolated` is `map2(model, new_data, interpolate, ...)`.
     Backtrace:
     █
     1. ├─fable_fit %>% interpolate(USAccDeaths_miss) test-arima.R:78:2
     2. ├─generics::interpolate(., USAccDeaths_miss)
     3. ├─fabletools:::interpolate.mdl_df(., USAccDeaths_miss)
     4. │ ├─dplyr::transmute(...)
     5. │ └─dplyr:::transmute.data.frame(...)
     6. │ ├─dplyr::mutate(.data, ..., .keep = "none")
     7. │ └─dplyr:::mutate.data.frame(.data, ..., .keep = "none")
     8. │ └─dplyr:::mutate_cols(.data, ...)
     9. │ ├─base::withCallingHandlers(...)
     10. │ └─mask$eval_all_mutate(quo)
     11. ├─fabletools:::map2(model, new_data, interpolate, ...)
     12. │ └─base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
     13. │ ├─(function (object, ...) ...
     14. │ └─fabletools:::interpolate.mdl_ts(dots[[1L]][[1L]], dots[[2L]][[1L]])
     15. │ └─generics::interpolate(...)
     16. └─base::.handleSimpleError(...)
     17. └─dplyr:::h(simpleError(msg, call))
     ── Failure (test-arima.R:93:3): Fixed ARIMA coefficients ───────────────────────
     tidy(fable_fit)$estimate not identical to c(0.3, 3, 20).
     Lengths differ: 0 is not 3
     ── Failure (test-arima.R:100:3): ARIMA with bad inputs ─────────────────────────
     ``%>%`(...)` produced unexpected warnings.
     Expected match: Only one special for `pdq\\(\\)` and `PDQ\\(\\)` is allowed
     Actual values:
     * 1 error encountered for ARIMA(mdeaths ~ 1 + pdq(2, 0, 0) + pdq(d = 1) + PDQ(2, 1, 0))
     [1] cannot add binding of 'lag' to the base environment
    
     ── Failure (test-arima.R:124:3): ARIMA with bad inputs ─────────────────────────
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     ── Failure (test-arima.R:130:3): ARIMA with bad inputs ─────────────────────────
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.3.0
Check: running tests for arch ‘i386’
Result: ERROR
     Running 'testthat.R' [37s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(fable)
     Loading required package: fabletools
     >
     > test_check("fable")
     == Skipped tests ===============================================================
     * On CRAN (1)
    
     == Failed tests ================================================================
     -- Failure (test-arima.R:36:3): Manual ARIMA selection -------------------------
     coef(fable_fit$model[[1]]$fit$model) not identical to coef(stats_fit).
     target is NULL, current is numeric
     -- Failure (test-arima.R:41:3): Manual ARIMA selection -------------------------
     model_sum(fable_fit$model[[1]]) not identical to "ARIMA(0,1,1)(0,1,1)[12]".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(0,1,1)(0,1,1)[12]"
     -- Failure (test-arima.R:49:3): Manual ARIMA selection -------------------------
     fc_mean(fable_fc$value) not equivalent to unclass(stats_fc$pred).
     24/24 mismatches (average diff: NaN)
     [1] NA - 8336 == NA
     [2] NA - 7532 == NA
     [3] NA - 8315 == NA
     [4] NA - 8617 == NA
     [5] NA - 9489 == NA
     [6] NA - 9860 == NA
     [7] NA - 10907 == NA
     [8] NA - 10087 == NA
     [9] NA - 9165 == NA
     ...
     -- Failure (test-arima.R:54:3): Manual ARIMA selection -------------------------
     tidy(fable_fit)$estimate not equivalent to coef(stats_fit).
     Lengths differ: 0 is not 2
     -- Failure (test-arima.R:58:3): Manual ARIMA selection -------------------------
     fitted(fable_fit)$.fitted not equivalent to unclass(USAccDeaths - residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 9002 == NA
     [2] NA - 8104 == NA
     [3] NA - 8926 == NA
     [4] NA - 9136 == NA
     [5] NA - 10015 == NA
     [6] NA - 10824 == NA
     [7] NA - 11314 == NA
     [8] NA - 10742 == NA
     [9] NA - 9713 == NA
     ...
     -- Failure (test-arima.R:62:3): Manual ARIMA selection -------------------------
     residuals(fable_fit)$.resid not equivalent to unclass(residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 5.200 == NA
     [2] NA - 1.628 == NA
     [3] NA - 1.760 == NA
     [4] NA - 1.496 == NA
     [5] NA - 1.990 == NA
     [6] NA - 2.400 == NA
     [7] NA - 2.512 == NA
     [8] NA - 1.658 == NA
     [9] NA - 0.498 == NA
     ...
     -- Failure (test-arima.R:71:3): Manual ARIMA selection -------------------------
     `report\(fable_fit\)` does not match "log likelihood=-425.44".
     Actual value: "Series: value \\nModel: NULL model \\nNULL model"
     Backtrace:
     x
     1. \-testthat::expect_output(report(fable_fit), "log likelihood=-425.44") test-arima.R:71:2
     2. \-testthat::expect_match(...)
     -- Error (test-arima.R:78:3): Manual ARIMA selection ---------------------------
     Error: Problem with `mutate()` input `interpolated`.
     x no applicable method for 'interpolate' applied to an object of class "null_mdl"
     i Input `interpolated` is `map2(model, new_data, interpolate, ...)`.
     Backtrace:
     x
     1. +-fable_fit %>% interpolate(USAccDeaths_miss) test-arima.R:78:2
     2. +-generics::interpolate(., USAccDeaths_miss)
     3. +-fabletools:::interpolate.mdl_df(., USAccDeaths_miss)
     4. | +-dplyr::transmute(...)
     5. | \-dplyr:::transmute.data.frame(...)
     6. | +-dplyr::mutate(.data, ..., .keep = "none")
     7. | \-dplyr:::mutate.data.frame(.data, ..., .keep = "none")
     8. | \-dplyr:::mutate_cols(.data, ...)
     9. | +-base::withCallingHandlers(...)
     10. | \-mask$eval_all_mutate(quo)
     11. +-fabletools:::map2(model, new_data, interpolate, ...)
     12. | \-base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
     13. | +-(function (object, ...) ...
     14. | \-fabletools:::interpolate.mdl_ts(dots[[1L]][[1L]], dots[[2L]][[1L]])
     15. | \-generics::interpolate(...)
     16. \-base::.handleSimpleError(...)
     17. \-dplyr:::h(simpleError(msg, call))
     -- Failure (test-arima.R:93:3): Fixed ARIMA coefficients -----------------------
     tidy(fable_fit)$estimate not identical to c(0.3, 3, 20).
     Lengths differ: 0 is not 3
     -- Failure (test-arima.R:100:3): ARIMA with bad inputs -------------------------
     ``%>%`(...)` produced unexpected warnings.
     Expected match: Only one special for `pdq\\(\\)` and `PDQ\\(\\)` is allowed
     Actual values:
     * 1 error encountered for ARIMA(mdeaths ~ 1 + pdq(2, 0, 0) + pdq(d = 1) + PDQ(2, 1, 0))
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:124:3): ARIMA with bad inputs -------------------------
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:130:3): ARIMA with bad inputs -------------------------
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.3.0
Check: running tests for arch ‘x64’
Result: ERROR
     Running 'testthat.R' [24s]
    Running the tests in 'tests/testthat.R' failed.
    Complete output:
     > library(testthat)
     > library(fable)
     Loading required package: fabletools
     >
     > test_check("fable")
     == Skipped tests ===============================================================
     * On CRAN (1)
    
     == Failed tests ================================================================
     -- Failure (test-arima.R:36:3): Manual ARIMA selection -------------------------
     coef(fable_fit$model[[1]]$fit$model) not identical to coef(stats_fit).
     target is NULL, current is numeric
     -- Failure (test-arima.R:41:3): Manual ARIMA selection -------------------------
     model_sum(fable_fit$model[[1]]) not identical to "ARIMA(0,1,1)(0,1,1)[12]".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(0,1,1)(0,1,1)[12]"
     -- Failure (test-arima.R:49:3): Manual ARIMA selection -------------------------
     fc_mean(fable_fc$value) not equivalent to unclass(stats_fc$pred).
     24/24 mismatches (average diff: NaN)
     [1] NA - 8336 == NA
     [2] NA - 7532 == NA
     [3] NA - 8315 == NA
     [4] NA - 8617 == NA
     [5] NA - 9489 == NA
     [6] NA - 9860 == NA
     [7] NA - 10907 == NA
     [8] NA - 10087 == NA
     [9] NA - 9165 == NA
     ...
     -- Failure (test-arima.R:54:3): Manual ARIMA selection -------------------------
     tidy(fable_fit)$estimate not equivalent to coef(stats_fit).
     Lengths differ: 0 is not 2
     -- Failure (test-arima.R:58:3): Manual ARIMA selection -------------------------
     fitted(fable_fit)$.fitted not equivalent to unclass(USAccDeaths - residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 9002 == NA
     [2] NA - 8104 == NA
     [3] NA - 8926 == NA
     [4] NA - 9136 == NA
     [5] NA - 10015 == NA
     [6] NA - 10824 == NA
     [7] NA - 11314 == NA
     [8] NA - 10742 == NA
     [9] NA - 9713 == NA
     ...
     -- Failure (test-arima.R:62:3): Manual ARIMA selection -------------------------
     residuals(fable_fit)$.resid not equivalent to unclass(residuals(stats_fit)).
     72/72 mismatches (average diff: NaN)
     [1] NA - 5.200 == NA
     [2] NA - 1.628 == NA
     [3] NA - 1.760 == NA
     [4] NA - 1.496 == NA
     [5] NA - 1.990 == NA
     [6] NA - 2.400 == NA
     [7] NA - 2.512 == NA
     [8] NA - 1.658 == NA
     [9] NA - 0.498 == NA
     ...
     -- Failure (test-arima.R:71:3): Manual ARIMA selection -------------------------
     `report\(fable_fit\)` does not match "log likelihood=-425.44".
     Actual value: "Series: value \\nModel: NULL model \\nNULL model"
     Backtrace:
     x
     1. \-testthat::expect_output(report(fable_fit), "log likelihood=-425.44") test-arima.R:71:2
     2. \-testthat::expect_match(...)
     -- Error (test-arima.R:78:3): Manual ARIMA selection ---------------------------
     Error: Problem with `mutate()` input `interpolated`.
     x no applicable method for 'interpolate' applied to an object of class "null_mdl"
     i Input `interpolated` is `map2(model, new_data, interpolate, ...)`.
     Backtrace:
     x
     1. +-fable_fit %>% interpolate(USAccDeaths_miss) test-arima.R:78:2
     2. +-generics::interpolate(., USAccDeaths_miss)
     3. +-fabletools:::interpolate.mdl_df(., USAccDeaths_miss)
     4. | +-dplyr::transmute(...)
     5. | \-dplyr:::transmute.data.frame(...)
     6. | +-dplyr::mutate(.data, ..., .keep = "none")
     7. | \-dplyr:::mutate.data.frame(.data, ..., .keep = "none")
     8. | \-dplyr:::mutate_cols(.data, ...)
     9. | +-base::withCallingHandlers(...)
     10. | \-mask$eval_all_mutate(quo)
     11. +-fabletools:::map2(model, new_data, interpolate, ...)
     12. | \-base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
     13. | +-(function (object, ...) ...
     14. | \-fabletools:::interpolate.mdl_ts(dots[[1L]][[1L]], dots[[2L]][[1L]])
     15. | \-generics::interpolate(...)
     16. \-base::.handleSimpleError(...)
     17. \-dplyr:::h(simpleError(msg, call))
     -- Failure (test-arima.R:93:3): Fixed ARIMA coefficients -----------------------
     tidy(fable_fit)$estimate not identical to c(0.3, 3, 20).
     Lengths differ: 0 is not 3
     -- Failure (test-arima.R:100:3): ARIMA with bad inputs -------------------------
     ``%>%`(...)` produced unexpected warnings.
     Expected match: Only one special for `pdq\\(\\)` and `PDQ\\(\\)` is allowed
     Actual values:
     * 1 error encountered for ARIMA(mdeaths ~ 1 + pdq(2, 0, 0) + pdq(d = 1) + PDQ(2, 1, 0))
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:124:3): ARIMA with bad inputs -------------------------
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:130:3): ARIMA with bad inputs -------------------------
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.3.0
Check: tests
Result: ERROR
     Running 'testthat.R'
    Running the tests in 'tests/testthat.R' failed.
    Last 13 lines of output:
     `... <- NULL` produced unexpected warnings.
     Expected match: Model specification induces a quadratic or higher order polynomial trend
     Actual values:
     * 1 error encountered for poly
     [1] cannot add binding of 'lag' to the base environment
    
     -- Failure (test-arima.R:130:3): ARIMA with bad inputs -------------------------
     model_sum(fit$poly[[1]]) not identical to "ARIMA(2,1,0)(2,1,0)[12] w/ poly".
     1/1 mismatches
     x[1]: "NULL model"
     y[1]: "ARIMA(2,1,0)(2,1,0)[12] w/ poly"
    
     [ FAIL 12 | WARN 12 | SKIP 1 | PASS 88 ]
     Error: Test failures
     Execution halted
Flavor: r-devel-windows-x86_64-gcc10-UCRT