Running ‘testthat.R’ [399s/520s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(adjustedCurves)
  > 
  > library(dplyr)
  
  Attaching package: 'dplyr'
  
  The following objects are masked from 'package:stats':
  
      filter, lag
  
  The following objects are masked from 'package:base':
  
      intersect, setdiff, setequal, union
  
  > 
  > library(testthat)
  
  Attaching package: 'testthat'
  
  The following object is masked from 'package:dplyr':
  
      matches
  
  > library(vdiffr)
  > library(survival)
  > library(ggplot2)
  > library(Matching)
  Loading required package: MASS
  
  Attaching package: 'MASS'
  
  The following object is masked from 'package:dplyr':
  
      select
  
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  > library(WeightIt)
  > library(prodlim)
  > library(survtmle)
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  > library(R6)
  > library(MASS)
  > library(tidyr)
  
  Attaching package: 'tidyr'
  
  The following object is masked from 'package:testthat':
  
      matches
  
  > library(riskRegression)
  riskRegression version 2022.09.23
  > library(pec)
  
  Attaching package: 'pec'
  
  The following objects are masked from 'package:riskRegression':
  
      ipcw, selectCox
  
  > library(geepack)
  > library(nnet)
  > library(cmprsk)
  
  Attaching package: 'cmprsk'
  
  The following object is masked from 'package:survtmle':
  
      timepoints
  
  > library(eventglm)
  
  Attaching package: 'eventglm'
  
  The following objects are masked from 'package:prodlim':
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  The following objects are masked from 'package:survival':
  
      colon, mgus2
  
  > library(SuperLearner)
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  > library(rmarkdown)
  > library(mice)
  
  Attaching package: 'mice'
  
  The following object is masked from 'package:stats':
  
      filter
  
  The following objects are masked from 'package:base':
  
      cbind, rbind
  
  > 
  > test_check("adjustedCurves")
  Loading required namespace: pammtools
  Loading required namespace: doParallel
  starting worker pid=85878 on localhost:11236 at 22:20:01.985
  starting worker pid=85879 on localhost:11236 at 22:20:02.107
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: prodlim
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: prodlim
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  starting worker pid=87418 on localhost:11236 at 22:20:15.861
  starting worker pid=87417 on localhost:11236 at 22:20:15.886
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loaded gam 1.22
  
  Loading required package: foreach
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: prodlim
  Loading required package: prodlim
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  Warning message:
  In coxph.fit(X, Y, istrat, offset, init, control, weights = weights,  :
    Loglik converged before variable  1,2 ; coefficient may be infinite. 
  starting worker pid=89502 on localhost:11236 at 22:20:28.189
  starting worker pid=89501 on localhost:11236 at 22:20:28.319
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: prodlim
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: prodlim
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  Loading required package: MASS
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  starting worker pid=90938 on localhost:11236 at 22:20:38.977
  starting worker pid=90937 on localhost:11236 at 22:20:39.063
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  Loading required package: adjustedCurves
  loaded adjustedCurves and set parent environment
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  
  Attaching package: ‘mice’
  
  The following object is masked from ‘package:stats’:
  
      filter
  
  The following objects are masked from ‘package:base’:
  
      cbind, rbind
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loading required package: nnls
  Loading required package: gam
  Loading required package: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Super Learner
  Version: 2.0-28
  Package created on 2021-05-04
  
  Loading required package: survival
  Loading required package: survival
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  
  Attaching package: ‘survival’
  
  The following objects are masked from ‘package:eventglm’:
  
      colon, mgus2
  
  Loading required package: prodlim
  Loading required package: prodlim
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  
  Attaching package: ‘prodlim’
  
  The following objects are masked from ‘package:eventglm’:
  
      leaveOneOut.competing.risks, leaveOneOut.survival
  
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  riskRegression version 2022.09.23
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  survtmle: Targeted Learning for Survival Analysis
  Version: 1.1.1
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘survtmle’
  
  The following object is masked from ‘package:cmprsk’:
  
      timepoints
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  Loading required package: MASS
  ## 
  ##  Matching (Version 4.10-8, Build Date: 2022-11-03)
  ##  See http://sekhon.berkeley.edu/matching for additional documentation.
  ##  Please cite software as:
  ##   Jasjeet S. Sekhon. 2011. ``Multivariate and Propensity Score Matching
  ##   Software with Automated Balance Optimization: The Matching package for R.''
  ##   Journal of Statistical Software, 42(7): 1-52. 
  ##
  
  
  Attaching package: ‘testthat’
  
  The following object is masked from ‘package:tidyr’:
  
      matches
  
  
  Attaching package: ‘dplyr’
  
  The following object is masked from ‘package:testthat’:
  
      matches
  
  The following object is masked from ‘package:MASS’:
  
      select
  
  The following objects are masked from ‘package:stats’:
  
      filter, lag
  
  The following objects are masked from ‘package:base’:
  
      intersect, setdiff, setequal, union
  
  Loading required package: rngtools
  Warning messages:
  1: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights,  :
    Loglik converged before variable  1 ; coefficient may be infinite. 
  2: In ate_checkArgs(call = call, object.event = object.event, object.censor = object.censor,  :
    Rare event 
  
  3: In predictCoxPL(object = object, newdata = newdata, times = times,  :
    Estimated survival outside the range [0,1]. 
  Consider using predictCox instead of predictCoxPL. 
  
  Warning messages:
  1: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights,  :
    Ran out of iterations and did not converge
  2: In coxph.fit(X, Y, istrat, offset, init, control, weights = weights,  :
    Loglik converged before variable  1 ; coefficient may be infinite. 
  3: In ate_checkArgs(call = call, object.event = object.event, object.censor = object.censor,  :
    Rare event 
  
  4: In predict.CauseSpecificCox(object = object, newdata = newdata,  :
    Estimated risk outside the range [0,1].
  Consider setting the argument 'product.limit' to FALSE. 
  
  5: In predict.CauseSpecificCox(object = object, newdata = newdata,  :
    Estimated risk outside the range [0,1].
  Consider setting the argument 'product.limit' to FALSE. 
  
  6: In predict.CauseSpecificCox(object = object, newdata = newdata,  :
    Estimated risk outside the range [0,1].
  Consider setting the argument 'product.limit' to FALSE. 
  
  Loading required namespace: ggpp
  censoring sl error
  [ FAIL 7 | WARN 126 | SKIP 125 | PASS 1579 ]
  
  ══ Skipped tests ═══════════════════════════════════════════════════════════════
  • On CRAN (125)
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Failure ('test_MI_adjustedcif.r:333'): adjusted_curve_test, two treatments ──
  round(adj_test$integral_se, 4) (`actual`) not equal to 0.0558 (`expected`).
  
    `actual`: 0.053
  `expected`: 0.056
  ── Failure ('test_MI_adjustedcif.r:341'): adjusted_curve_test, two treatments, linear ──
  round(adj_test$integral_se, 4) (`actual`) not equal to 0.0566 (`expected`).
  
    `actual`: 0.053
  `expected`: 0.057
  ── Failure ('test_MI_adjustedcif.r:369'): adjusted_curve_test, three treatments ──
  round(adj_test$`Chemo vs. Placebo`$observed_diff_integral, 4) (`actual`) not equal to -0.3791 (`expected`).
  
    `actual`: -0.1
  `expected`: -0.4
  ── Failure ('test_MI_adjustedcif.r:379'): adjusted_curve_test, three treatments linear ──
  round(adj_test$`Chemo vs. Placebo`$observed_diff_integral, 4) (`actual`) not equal to -0.3877 (`expected`).
  
    `actual`: -0.1
  `expected`: -0.4
  ── Failure ('test_MI_adjustedsurv.r:506'): adjusted_rmst, 3 treatments, with boot ──
  round(adj_rmst$se, 4) (`actual`) not equal to c(0.0719, 0.046, NA) (`expected`).
  
    `actual`: 0.059 0.045 NA
  `expected`: 0.072 0.046 NA
  ── Failure ('test_MI_adjustedsurv.r:507'): adjusted_rmst, 3 treatments, with boot ──
  adj_rmst$n_boot (`actual`) not equal to c(3, 3, 1) (`expected`).
  
    `actual`: 3 2 0
  `expected`: 3 3 1
  ── Error ('test_MI_adjustedsurv.r:511'): adjusted_curve_test, 3 treatments ─────
  Error in `dplyr::summarise(., area_est = mean(area_est), area_se = mean(area_se), 
      p_value = pool_p_values(p_val), n_boot = min(n_boot))`: Problem while computing `p_value = pool_p_values(p_val)`.
  i The error occurred in group 2: comparison = "Chemo vs. Placebo".
  Caused by error in `if (stats::var(p_values) == 0) ...`:
  ! missing value where TRUE/FALSE needed
  Backtrace:
       ▆
    1. ├─adjustedCurves::adjusted_curve_test(...) at test_MI_adjustedsurv.r:511:2
    2. │ └─adjustedCurves:::adjusted_curve_test.MI(...)
    3. │   └─dat %>% dplyr::group_by(., comparison) %>% ...
    4. ├─dplyr::summarise(...)
    5. ├─dplyr:::summarise.grouped_df(...)
    6. │ └─dplyr:::summarise_cols(.data, dplyr_quosures(...), caller_env = caller_env())
    7. │   ├─base::withCallingHandlers(...)
    8. │   └─dplyr:::map(quosures, summarise_eval_one, mask = mask)
    9. │     └─base::lapply(.x, .f, ...)
   10. │       └─dplyr (local) FUN(X[[i]], ...)
   11. │         └─mask$eval_all_summarise(quo)
   12. ├─adjustedCurves:::pool_p_values(p_val)
   13. └─base::.handleSimpleError(...)
   14.   └─dplyr (local) h(simpleError(msg, call))
   15.     └─rlang::abort(bullets, call = error_call, parent = skip_internal_condition(e))
  
  [ FAIL 7 | WARN 126 | SKIP 125 | PASS 1579 ]
  Error: Test failures
  Execution halted