CRAN Package Check Results for Package mmrm

Last updated on 2026-04-24 06:53:08 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.3.17 504.81 211.08 715.89 OK
r-devel-linux-x86_64-debian-gcc 0.3.17 437.52 186.00 623.52 ERROR
r-devel-linux-x86_64-fedora-clang 0.3.17 600.00 310.09 910.09 ERROR
r-devel-linux-x86_64-fedora-gcc 0.3.17 1140.00 405.05 1545.05 ERROR
r-devel-macos-arm64 0.3.17 109.00 -6.00 103.00 OK
r-devel-windows-x86_64 0.3.17 529.00 319.00 848.00 OK
r-patched-linux-x86_64 0.3.17 574.31 246.71 821.02 OK
r-release-linux-x86_64 0.3.17 552.23 234.85 787.08 OK
r-release-macos-arm64 0.3.17 108.00 0.00 108.00 OK
r-release-macos-x86_64 0.3.17 342.00 131.00 473.00 OK
r-release-windows-x86_64 0.3.17 510.00 333.00 843.00 OK
r-oldrel-macos-arm64 0.3.17 109.00 4.00 113.00 NOTE
r-oldrel-macos-x86_64 0.3.17 339.00 359.00 698.00 NOTE
r-oldrel-windows-x86_64 0.3.17 604.00 366.00 970.00 NOTE

Check Details

Version: 0.3.17
Check: tests
Result: ERROR Running ‘additional.R’ [9s/17s] Running ‘testthat.R’ [40s/53s] 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’ [25s/26s] Running ‘testthat.R’ [83s/91s] 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: installed package size
Result: NOTE installed size is 125.9Mb sub-directories of 1Mb or more: libs 124.0Mb Flavors: r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64