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Last updated on 2026-04-30 23:53:40 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.3.17 | 521.57 | 214.93 | 736.50 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.3.17 | 441.78 | 182.42 | 624.20 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.3.17 | 540.00 | 344.85 | 884.85 | ERROR | |
| r-devel-linux-x86_64-fedora-gcc | 0.3.17 | 1140.00 | 405.05 | 1545.05 | ERROR | |
| r-devel-windows-x86_64 | 0.3.17 | 553.00 | 325.00 | 878.00 | ERROR | |
| r-patched-linux-x86_64 | 0.3.17 | 580.27 | 243.77 | 824.04 | OK | |
| r-release-linux-x86_64 | 0.3.17 | 580.13 | 245.57 | 825.70 | OK | |
| r-release-macos-arm64 | 0.3.17 | 108.00 | -5.00 | 103.00 | OK | |
| r-release-macos-x86_64 | 0.3.17 | 346.00 | 143.00 | 489.00 | OK | |
| r-release-windows-x86_64 | 0.3.17 | 516.00 | 325.00 | 841.00 | OK | |
| r-oldrel-macos-arm64 | 0.3.17 | 108.00 | 0.00 | 108.00 | OK | |
| r-oldrel-macos-x86_64 | 0.3.17 | 342.00 | 131.00 | 473.00 | OK | |
| r-oldrel-windows-x86_64 | 0.3.17 | 672.00 | 434.00 | 1106.00 | OK |
Version: 0.3.17
Check: tests
Result: ERROR
Running ‘additional.R’ [15s/24s]
Running ‘testthat.R’ [53s/83s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> pkg_name <- "mmrm"
> library(pkg_name, character.only = TRUE)
> testthat::test_check(pkg_name)
In AVISIT there are dropped visits: VIS4.
Additional attributes including contrasts are lost.
To avoid this behavior, make sure use `drop_visit_levels = FALSE`.
Welcome to emmeans.
Caution: You lose important information if you filter this package's results.
See '? untidy'
Saving _problems/test-empirical-486.R
Saving _problems/test-empirical-520.R
Saving _problems/test-empirical-554.R
Saving _problems/test-empirical-588.R
Saving _problems/test-empirical-622.R
Saving _problems/test-empirical-656.R
Loading required package: carData
-- Model Registration ------------------------------------------- mmrm 0.3.17 --
v mmrm::mmrm()
[ FAIL 6 | WARN 0 | SKIP 70 | PASS 1978 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• On CRAN (50): 'test-between-within.R:23:1', 'test-emmeans.R:115:1',
'test-empirical.R:3:1', 'test-empirical.R:15:1', 'test-empirical.R:27:1',
'test-fit.R:282:3', 'test-fit.R:412:3', 'test-fit.R:559:1',
'test-interop-car.R:214:1', 'test-interop-car.R:237:1',
'test-interop-car.R:304:1', 'test-kenwardroger.R:2:1',
'test-kenwardroger.R:12:1', 'test-kenwardroger.R:22:1',
'test-kenwardroger.R:32:1', 'test-kenwardroger.R:42:1',
'test-kenwardroger.R:52:1', 'test-kenwardroger.R:62:1',
'test-kenwardroger.R:72:1', 'test-kenwardroger.R:82:1',
'test-kenwardroger.R:92:1', 'test-kenwardroger.R:102:1',
'test-kenwardroger.R:112:1', 'test-kenwardroger.R:122:1',
'test-kenwardroger.R:132:1', 'test-kenwardroger.R:142:1',
'test-kenwardroger.R:152:1', 'test-kenwardroger.R:162:1',
'test-kenwardroger.R:172:1', 'test-kenwardroger.R:182:1',
'test-kenwardroger.R:192:1', 'test-kenwardroger.R:490:1',
'test-kenwardroger.R:498:1', 'test-kenwardroger.R:512:1',
'test-kenwardroger.R:530:1', 'test-kenwardroger.R:542:1',
'test-mmrm-methods.R:78:1', 'test-mmrm-methods.R:94:1',
'test-mmrm-methods.R:100:1', 'test-mmrm-methods.R:106:1',
'test-mmrm-methods.R:112:1', 'test-mmrm-methods.R:119:1',
'test-testing.R:78:1', 'test-testing.R:92:1', 'test-tmb-methods.R:142:1',
'test-tmb-methods.R:179:1', 'test-tmb-methods.R:351:1',
'test-tmb-methods.R:913:1', 'test-tmb-methods.R:1081:1',
'test-tmb-methods.R:1088:1'
• On R-devel Linux system with non-standard clang (19):
'test-between-within.R:129:3', 'test-between-within.R:146:3',
'test-between-within.R:163:3', 'test-between-within.R:180:3',
'test-emmeans.R:104:3', 'test-emmeans.R:163:3', 'test-emmeans.R:194:3',
'test-fit.R:224:3', 'test-fit.R:236:3', 'test-satterthwaite.R:218:3',
'test-satterthwaite.R:249:3', 'test-tmb-methods.R:1096:3',
'test-tmb-methods.R:1153:3', 'test-tmb-methods.R:1206:3',
'test-tmb-methods.R:1219:3', 'test-tmb-methods.R:1320:3',
'test-tmb-methods.R:1385:3', 'test-tmb-methods.R:1426:3',
'test-tmb-methods.R:1603:3'
• empty test (1):
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-empirical.R:486:3'): Empirical works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:486:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:520:3'): Empirical works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:520:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:554:3'): Jackknife works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:554:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:588:3'): Jackknife works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:588:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:622:3'): Bias-Reduced works as expected for ar1 ────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:622:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:656:3'): Bias-Reduced works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:656:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
[ FAIL 6 | WARN 0 | SKIP 70 | PASS 1978 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.3.17
Check: tests
Result: ERROR
Running ‘additional.R’ [8s/11s]
Running ‘testthat.R’ [39s/52s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> pkg_name <- "mmrm"
> library(pkg_name, character.only = TRUE)
> testthat::test_check(pkg_name)
In AVISIT there are dropped visits: VIS4.
Additional attributes including contrasts are lost.
To avoid this behavior, make sure use `drop_visit_levels = FALSE`.
Welcome to emmeans.
Caution: You lose important information if you filter this package's results.
See '? untidy'
Saving _problems/test-empirical-486.R
Saving _problems/test-empirical-520.R
Saving _problems/test-empirical-554.R
Saving _problems/test-empirical-588.R
Saving _problems/test-empirical-622.R
Saving _problems/test-empirical-656.R
Loading required package: carData
-- Model Registration ------------------------------------------- mmrm 0.3.17 --
v mmrm::mmrm()
[ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ]
══ Skipped tests (51) ══════════════════════════════════════════════════════════
• On CRAN (50): 'test-between-within.R:23:1', 'test-emmeans.R:115:1',
'test-empirical.R:3:1', 'test-empirical.R:15:1', 'test-empirical.R:27:1',
'test-fit.R:282:3', 'test-fit.R:412:3', 'test-fit.R:559:1',
'test-interop-car.R:214:1', 'test-interop-car.R:237:1',
'test-interop-car.R:304:1', 'test-kenwardroger.R:2:1',
'test-kenwardroger.R:12:1', 'test-kenwardroger.R:22:1',
'test-kenwardroger.R:32:1', 'test-kenwardroger.R:42:1',
'test-kenwardroger.R:52:1', 'test-kenwardroger.R:62:1',
'test-kenwardroger.R:72:1', 'test-kenwardroger.R:82:1',
'test-kenwardroger.R:92:1', 'test-kenwardroger.R:102:1',
'test-kenwardroger.R:112:1', 'test-kenwardroger.R:122:1',
'test-kenwardroger.R:132:1', 'test-kenwardroger.R:142:1',
'test-kenwardroger.R:152:1', 'test-kenwardroger.R:162:1',
'test-kenwardroger.R:172:1', 'test-kenwardroger.R:182:1',
'test-kenwardroger.R:192:1', 'test-kenwardroger.R:490:1',
'test-kenwardroger.R:498:1', 'test-kenwardroger.R:512:1',
'test-kenwardroger.R:530:1', 'test-kenwardroger.R:542:1',
'test-mmrm-methods.R:78:1', 'test-mmrm-methods.R:94:1',
'test-mmrm-methods.R:100:1', 'test-mmrm-methods.R:106:1',
'test-mmrm-methods.R:112:1', 'test-mmrm-methods.R:119:1',
'test-testing.R:78:1', 'test-testing.R:92:1', 'test-tmb-methods.R:142:1',
'test-tmb-methods.R:179:1', 'test-tmb-methods.R:351:1',
'test-tmb-methods.R:913:1', 'test-tmb-methods.R:1081:1',
'test-tmb-methods.R:1088:1'
• empty test (1):
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-empirical.R:486:3'): Empirical works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:486:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:520:3'): Empirical works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:520:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:554:3'): Jackknife works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:554:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:588:3'): Jackknife works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:588:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:622:3'): Bias-Reduced works as expected for ar1 ────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:622:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:656:3'): Bias-Reduced works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:656:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
[ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.3.17
Check: tests
Result: ERROR
Running ‘additional.R’ [22s/26s]
Running ‘testthat.R’ [80s/95s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> pkg_name <- "mmrm"
> library(pkg_name, character.only = TRUE)
> testthat::test_check(pkg_name)
In AVISIT there are dropped visits: VIS4.
Additional attributes including contrasts are lost.
To avoid this behavior, make sure use `drop_visit_levels = FALSE`.
Welcome to emmeans.
Caution: You lose important information if you filter this package's results.
See '? untidy'
Saving _problems/test-empirical-486.R
Saving _problems/test-empirical-520.R
Saving _problems/test-empirical-554.R
Saving _problems/test-empirical-588.R
Saving _problems/test-empirical-622.R
Saving _problems/test-empirical-656.R
Loading required package: carData
-- Model Registration ------------------------------------------- mmrm 0.3.17 --
v mmrm::mmrm()
[ FAIL 6 | WARN 0 | SKIP 70 | PASS 1978 ]
══ Skipped tests (70) ══════════════════════════════════════════════════════════
• On CRAN (50): 'test-between-within.R:23:1', 'test-emmeans.R:115:1',
'test-empirical.R:3:1', 'test-empirical.R:15:1', 'test-empirical.R:27:1',
'test-fit.R:282:3', 'test-fit.R:412:3', 'test-fit.R:559:1',
'test-interop-car.R:214:1', 'test-interop-car.R:237:1',
'test-interop-car.R:304:1', 'test-kenwardroger.R:2:1',
'test-kenwardroger.R:12:1', 'test-kenwardroger.R:22:1',
'test-kenwardroger.R:32:1', 'test-kenwardroger.R:42:1',
'test-kenwardroger.R:52:1', 'test-kenwardroger.R:62:1',
'test-kenwardroger.R:72:1', 'test-kenwardroger.R:82:1',
'test-kenwardroger.R:92:1', 'test-kenwardroger.R:102:1',
'test-kenwardroger.R:112:1', 'test-kenwardroger.R:122:1',
'test-kenwardroger.R:132:1', 'test-kenwardroger.R:142:1',
'test-kenwardroger.R:152:1', 'test-kenwardroger.R:162:1',
'test-kenwardroger.R:172:1', 'test-kenwardroger.R:182:1',
'test-kenwardroger.R:192:1', 'test-kenwardroger.R:490:1',
'test-kenwardroger.R:498:1', 'test-kenwardroger.R:512:1',
'test-kenwardroger.R:530:1', 'test-kenwardroger.R:542:1',
'test-mmrm-methods.R:78:1', 'test-mmrm-methods.R:94:1',
'test-mmrm-methods.R:100:1', 'test-mmrm-methods.R:106:1',
'test-mmrm-methods.R:112:1', 'test-mmrm-methods.R:119:1',
'test-testing.R:78:1', 'test-testing.R:92:1', 'test-tmb-methods.R:142:1',
'test-tmb-methods.R:179:1', 'test-tmb-methods.R:351:1',
'test-tmb-methods.R:913:1', 'test-tmb-methods.R:1081:1',
'test-tmb-methods.R:1088:1'
• On R-devel Linux system with non-standard clang (19):
'test-between-within.R:129:3', 'test-between-within.R:146:3',
'test-between-within.R:163:3', 'test-between-within.R:180:3',
'test-emmeans.R:104:3', 'test-emmeans.R:163:3', 'test-emmeans.R:194:3',
'test-fit.R:224:3', 'test-fit.R:236:3', 'test-satterthwaite.R:218:3',
'test-satterthwaite.R:249:3', 'test-tmb-methods.R:1096:3',
'test-tmb-methods.R:1153:3', 'test-tmb-methods.R:1206:3',
'test-tmb-methods.R:1219:3', 'test-tmb-methods.R:1320:3',
'test-tmb-methods.R:1385:3', 'test-tmb-methods.R:1426:3',
'test-tmb-methods.R:1603:3'
• empty test (1):
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-empirical.R:486:3'): Empirical works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:486:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:520:3'): Empirical works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:520:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:554:3'): Jackknife works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:554:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:588:3'): Jackknife works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:588:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:622:3'): Bias-Reduced works as expected for ar1 ────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:622:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:656:3'): Bias-Reduced works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:656:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
[ FAIL 6 | WARN 0 | SKIP 70 | PASS 1978 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 0.3.17
Check: tests
Result: ERROR
Running ‘additional.R’ [26s/79s]
Running ‘testthat.R’ [104s/295s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> pkg_name <- "mmrm"
> library(pkg_name, character.only = TRUE)
> testthat::test_check(pkg_name)
In AVISIT there are dropped visits: VIS4.
Additional attributes including contrasts are lost.
To avoid this behavior, make sure use `drop_visit_levels = FALSE`.
Welcome to emmeans.
Caution: You lose important information if you filter this package's results.
See '? untidy'
Saving _problems/test-empirical-486.R
Saving _problems/test-empirical-520.R
Saving _problems/test-empirical-554.R
Saving _problems/test-empirical-588.R
Saving _problems/test-empirical-622.R
Saving _problems/test-empirical-656.R
Loading required package: carData
-- Model Registration ------------------------------------------- mmrm 0.3.17 --
v mmrm::mmrm()
[ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ]
══ Skipped tests (51) ══════════════════════════════════════════════════════════
• On CRAN (50): 'test-between-within.R:23:1', 'test-emmeans.R:115:1',
'test-empirical.R:3:1', 'test-empirical.R:15:1', 'test-empirical.R:27:1',
'test-fit.R:282:3', 'test-fit.R:412:3', 'test-fit.R:559:1',
'test-interop-car.R:214:1', 'test-interop-car.R:237:1',
'test-interop-car.R:304:1', 'test-kenwardroger.R:2:1',
'test-kenwardroger.R:12:1', 'test-kenwardroger.R:22:1',
'test-kenwardroger.R:32:1', 'test-kenwardroger.R:42:1',
'test-kenwardroger.R:52:1', 'test-kenwardroger.R:62:1',
'test-kenwardroger.R:72:1', 'test-kenwardroger.R:82:1',
'test-kenwardroger.R:92:1', 'test-kenwardroger.R:102:1',
'test-kenwardroger.R:112:1', 'test-kenwardroger.R:122:1',
'test-kenwardroger.R:132:1', 'test-kenwardroger.R:142:1',
'test-kenwardroger.R:152:1', 'test-kenwardroger.R:162:1',
'test-kenwardroger.R:172:1', 'test-kenwardroger.R:182:1',
'test-kenwardroger.R:192:1', 'test-kenwardroger.R:490:1',
'test-kenwardroger.R:498:1', 'test-kenwardroger.R:512:1',
'test-kenwardroger.R:530:1', 'test-kenwardroger.R:542:1',
'test-mmrm-methods.R:78:1', 'test-mmrm-methods.R:94:1',
'test-mmrm-methods.R:100:1', 'test-mmrm-methods.R:106:1',
'test-mmrm-methods.R:112:1', 'test-mmrm-methods.R:119:1',
'test-testing.R:78:1', 'test-testing.R:92:1', 'test-tmb-methods.R:142:1',
'test-tmb-methods.R:179:1', 'test-tmb-methods.R:351:1',
'test-tmb-methods.R:913:1', 'test-tmb-methods.R:1081:1',
'test-tmb-methods.R:1088:1'
• empty test (1):
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-empirical.R:486:3'): Empirical works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:486:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:520:3'): Empirical works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:520:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:554:3'): Jackknife works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:554:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:588:3'): Jackknife works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:588:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:622:3'): Bias-Reduced works as expected for ar1 ────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:622:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:656:3'): Bias-Reduced works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:656:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
[ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 0.3.17
Check: tests
Result: ERROR
Running 'additional.R' [11s]
Running 'testthat.R' [55s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> pkg_name <- "mmrm"
> library(pkg_name, character.only = TRUE)
> testthat::test_check(pkg_name)
In AVISIT there are dropped visits: VIS4.
Additional attributes including contrasts are lost.
To avoid this behavior, make sure use `drop_visit_levels = FALSE`.
Welcome to emmeans.
Caution: You lose important information if you filter this package's results.
See '? untidy'
Saving _problems/test-empirical-486.R
Saving _problems/test-empirical-520.R
Saving _problems/test-empirical-554.R
Saving _problems/test-empirical-588.R
Saving _problems/test-empirical-622.R
Saving _problems/test-empirical-656.R
Loading required package: carData
-- Model Registration ------------------------------------------- mmrm 0.3.17 --
v mmrm::mmrm()
[ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ]
══ Skipped tests (51) ══════════════════════════════════════════════════════════
• On CRAN (50): 'test-between-within.R:23:1', 'test-emmeans.R:115:1',
'test-empirical.R:3:1', 'test-empirical.R:15:1', 'test-empirical.R:27:1',
'test-fit.R:282:3', 'test-fit.R:412:3', 'test-fit.R:559:1',
'test-interop-car.R:214:1', 'test-interop-car.R:237:1',
'test-interop-car.R:304:1', 'test-kenwardroger.R:2:1',
'test-kenwardroger.R:12:1', 'test-kenwardroger.R:22:1',
'test-kenwardroger.R:32:1', 'test-kenwardroger.R:42:1',
'test-kenwardroger.R:52:1', 'test-kenwardroger.R:62:1',
'test-kenwardroger.R:72:1', 'test-kenwardroger.R:82:1',
'test-kenwardroger.R:92:1', 'test-kenwardroger.R:102:1',
'test-kenwardroger.R:112:1', 'test-kenwardroger.R:122:1',
'test-kenwardroger.R:132:1', 'test-kenwardroger.R:142:1',
'test-kenwardroger.R:152:1', 'test-kenwardroger.R:162:1',
'test-kenwardroger.R:172:1', 'test-kenwardroger.R:182:1',
'test-kenwardroger.R:192:1', 'test-kenwardroger.R:490:1',
'test-kenwardroger.R:498:1', 'test-kenwardroger.R:512:1',
'test-kenwardroger.R:530:1', 'test-kenwardroger.R:542:1',
'test-mmrm-methods.R:78:1', 'test-mmrm-methods.R:94:1',
'test-mmrm-methods.R:100:1', 'test-mmrm-methods.R:106:1',
'test-mmrm-methods.R:112:1', 'test-mmrm-methods.R:119:1',
'test-testing.R:78:1', 'test-testing.R:92:1', 'test-tmb-methods.R:142:1',
'test-tmb-methods.R:179:1', 'test-tmb-methods.R:351:1',
'test-tmb-methods.R:913:1', 'test-tmb-methods.R:1081:1',
'test-tmb-methods.R:1088:1'
• empty test (1):
══ Failed tests ════════════════════════════════════════════════════════════════
── Error ('test-empirical.R:486:3'): Empirical works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:486:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:520:3'): Empirical works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR0") at test-empirical.R:520:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR0")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:554:3'): Jackknife works as expected for ar1 ───────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:554:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:588:3'): Jackknife works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR3") at test-empirical.R:588:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR3")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:622:3'): Bias-Reduced works as expected for ar1 ────
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:622:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
── Error ('test-empirical.R:656:3'): Bias-Reduced works as expected for weighted ar1 ──
Error in `as.data.frame.default(data, optional = TRUE)`: cannot coerce class 'c("objectNotFoundError", "error", "condition")' to a data.frame
Backtrace:
▆
1. ├─clubSandwich::vcovCR(fit_gls, type = "CR2") at test-empirical.R:656:3
2. └─clubSandwich:::vcovCR.gls(fit_gls, type = "CR2")
3. └─clubSandwich:::vcov_CR(...)
4. ├─clubSandwich:::model_matrix(obj)
5. └─clubSandwich:::model_matrix.gls(obj)
6. ├─stats::model.matrix(formula(obj), data = dat)
7. └─stats::model.matrix.default(formula(obj), data = dat)
8. ├─stats::terms(object, data = data)
9. └─stats::terms.formula(object, data = data)
10. ├─base::as.data.frame(data, optional = TRUE)
11. └─base::as.data.frame.default(data, optional = TRUE)
[ FAIL 6 | WARN 0 | SKIP 51 | PASS 2050 ]
Error:
! Test failures.
Execution halted
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