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CRAN Package Check Results for Package ipeval

Last updated on 2026-10-24 05:51:18 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.2 7.08 365.77 372.85 OK
r-devel-linux-x86_64-debian-gcc 0.1.2 5.19 172.48 177.67 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.2 279.68 OK
r-devel-linux-x86_64-fedora-gcc 0.1.2 281.83 OK
r-devel-windows-x86_64 0.1.2 10.00 523.00 533.00 OK
r-patched-linux-x86_64 0.1.2 6.71 349.51 356.22 OK
r-release-linux-x86_64 0.1.2 6.39 342.65 349.04 OK
r-release-macos-arm64 0.1.2 2.00 110.00 112.00 OK
r-release-macos-x86_64 0.1.2 5.00 431.00 436.00 OK
r-release-windows-x86_64 0.1.2 9.00 527.00 536.00 OK
r-oldrel-macos-arm64 0.1.2 2.00 116.00 118.00 OK
r-oldrel-macos-x86_64 0.1.2 5.00 457.00 462.00 OK
r-oldrel-windows-x86_64 0.1.2 13.00 590.00 603.00 OK

Check Details

Version: 0.1.2
Check: tests
Result: ERROR Running ‘testthat.R’ [116s/137s] Running the tests in ‘tests/testthat.R’ failed. Complete output: > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(ipeval) > > test_check("ipeval") # weights: 9 (4 variable) initial value 1098612.288689 iter 10 value 681212.052959 final value 681057.242243 converged # weights: 9 (4 variable) initial value 1098612.288689 iter 10 value 681212.052959 final value 681057.242243 converged # weights: 9 (4 variable) initial value 1098612.288689 iter 10 value 681212.052959 final value 681057.242243 converged # weights: 9 (4 variable) initial value 1098612.288689 iter 10 value 681212.052959 final value 681057.242243 converged Saving _problems/test-ip_score-192.R Saving _problems/test-ip_score-230.R Saving _problems/test-ip_score-379.R Saving _problems/test-ip_score-434.R Saving _problems/test-ip_score-516.R Saving _problems/test-ip_score-601.R Saving _problems/test-ip_score-729.R Saving _problems/test-ip_score-831.R Saving _problems/test-ip_score-878.R Saving _problems/test-ipc_weights-10.R Saving _problems/test-ipc_weights-71.R Saving _problems/test-ipc_weights-141.R Saving _problems/test-ipc_weights-208.R Saving _problems/test-observed_score-26.R Saving _problems/test-print-26.R [ FAIL 15 | WARN 0 | SKIP 0 | PASS 77 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-ip_score.R:189:3'): survival outcome at fixed timepoint equivalent to binary outcome ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─testthat::expect_equal(...) at test-ip_score.R:189:3 2. │ └─testthat::quasi_label(enquo(expected), expected.label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─ipeval::ip_score(model, data, Surv(time, Y), A ~ L, 0, time_horizon = 10) 5. └─ipeval:::get_ipcw(...) 6. └─ipeval:::ipc_weights(...) 7. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 8. └─prodlim::EventHistory.frame(...) 9. └─prodlim::model.design(...) 10. └─stats::delete.response(terms) 11. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:229:3'): iptw/ipcw manual specification equivalent to models ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:229:3 2. └─ipeval:::get_ipcw(...) 3. └─ipeval:::ipc_weights(...) 4. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 5. └─prodlim::EventHistory.frame(...) 6. └─prodlim::model.design(...) 7. └─stats::delete.response(terms) 8. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:369:3'): ip_score metrics equal to unobserved CF metrics, surv, uncensored ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:369:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:424:3'): ip_score metrics equal to unobserved CF metrics, surv, censor at T ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:424:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:506:3'): ip_score metrics equal to unobserved CF metrics, surv, KM censor ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:506:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:591:3'): ip_score metrics equal to unobserved CF metrics, surv, cox censor ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:591:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:717:3'): results are in between lower & upper bootstrap, surv, cox censor ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:717:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:820:3'): null model survival outcome ──────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:820:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. ├─stats::predict(model, newdata = data, type = "lp") 8. └─survival:::predict.coxph(model, newdata = data, type = "lp") 9. └─stats::delete.response(Terms) 10. └─stats (local) off(a$specials[[i]]) ── Error ('test-ip_score.R:868:3'): ip_score handles horizon on censor time correctly ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-ip_score.R:868:3 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ── Error ('test-ipc_weights.R:6:3'): ipc KM simple correct ───────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─testthat::expect_equal(...) at test-ipc_weights.R:6:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─ipeval:::ipc_weights(...) 5. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 6. └─prodlim::EventHistory.frame(...) 7. └─prodlim::model.design(...) 8. └─stats::delete.response(terms) 9. └─stats (local) off(a$specials[[i]]) ── Error ('test-ipc_weights.R:68:3'): ipc ties ───────────────────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. ├─testthat::expect_equal(...) at test-ipc_weights.R:68:3 2. │ └─testthat::quasi_label(enquo(object), label) 3. │ └─rlang::eval_bare(expr, quo_get_env(quo)) 4. └─ipeval:::ipc_weights(...) 5. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 6. └─prodlim::EventHistory.frame(...) 7. └─prodlim::model.design(...) 8. └─stats::delete.response(terms) 9. └─stats (local) off(a$specials[[i]]) ── Error ('test-ipc_weights.R:141:5'): ipc-weighted population represents uncensored population, noninformative censoring ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval:::ipc_weights(...) at test-ipc_weights.R:141:5 2. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 3. └─prodlim::EventHistory.frame(...) 4. └─prodlim::model.design(...) 5. └─stats::delete.response(terms) 6. └─stats (local) off(a$specials[[i]]) ── Error ('test-ipc_weights.R:208:5'): ipc-weighted population represents uncensored population, cox informative censoring ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval:::ipc_weights(...) at test-ipc_weights.R:208:5 2. └─ipeval:::predict_cox(fit, data, pmin(y[, "time"], time_horizon)) 3. ├─stats::predict(model, newdata = data, type = "lp") 4. └─survival:::predict.coxph(model, newdata = data, type = "lp") 5. └─stats::delete.response(Terms) 6. └─stats (local) off(a$specials[[i]]) ── Error ('test-observed_score.R:24:3'): observed_score works ────────────────── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) 2. └─ipeval:::get_ipcw(...) 3. └─ipeval:::ipc_weights(...) 4. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 5. └─prodlim::EventHistory.frame(...) 6. └─prodlim::model.design(...) 7. └─stats::delete.response(terms) 8. └─stats (local) off(a$specials[[i]]) ── Error ('test-print.R:25:3'): test if assumption output and graphics is correct ── <subscriptOutOfBoundsError/error/condition> Error in `a$specials[[i]]`: subscript out of bounds Backtrace: ▆ 1. └─ipeval::ip_score(...) at test-print.R:25:3 2. └─ipeval:::get_ipcw(...) 3. └─ipeval:::ipc_weights(...) 4. └─prodlim::prodlim(formula, data = data, reverse = TRUE) 5. └─prodlim::EventHistory.frame(...) 6. └─prodlim::model.design(...) 7. └─stats::delete.response(terms) 8. └─stats (local) off(a$specials[[i]]) [ FAIL 15 | WARN 0 | SKIP 0 | PASS 77 ] Deleting unused snapshots: 'print/calibrationplot-correct.svg' Error: ! Test failures. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

Version: 0.1.2
Check: re-building of vignette outputs
Result: ERROR Error(s) in re-building vignettes: ... --- re-building ‘ipeval.Rmd’ using rmarkdown [WARNING] Deprecated: --mathjax. Use --math-method=mathjax[:URL] instead. --- finished re-building ‘ipeval.Rmd’ --- re-building ‘time-to-event.Rmd’ using rmarkdown Quitting from time-to-event.Rmd:107-118 [unnamed-chunk-5] ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <error/rlang_error> Error in `a$specials[[i]]`: ! subscript out of bounds --- Backtrace: ▆ 1. └─ipeval::ip_score(...) 2. └─ipeval:::get_predictions(...) 3. └─base::lapply(...) 4. └─ipeval (local) FUN(X[[i]], ...) 5. └─ipeval:::predict_CF(...) 6. └─ipeval:::predict_cox(model, data, time_horizon) 7. └─survival::basehaz(model, centered = FALSE) 8. ├─survival::survfit(fit, se.fit = FALSE) 9. └─survival:::survfit.coxph(fit, se.fit = FALSE) 10. └─survival:::model.matrix.coxph(object, data = mf) 11. └─stats::delete.response(object$terms) 12. └─stats (local) off(a$specials[[i]]) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Error: processing vignette 'time-to-event.Rmd' failed with diagnostics: subscript out of bounds --- failed re-building ‘time-to-event.Rmd’ SUMMARY: processing the following file failed: ‘time-to-event.Rmd’ Error: Vignette re-building failed. Execution halted Flavor: r-devel-linux-x86_64-debian-gcc

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