Running ‘testthat.R’ [362s/472s]
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 2022.11.28
  > 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=355364 on localhost:11181 at 21:41:50.188
  starting worker pid=355365 on localhost:11181 at 21:41:50.223
  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
  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 2022.11.28
  
  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 2022.11.28
  
  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=358163 on localhost:11181 at 21:41:59.475
  starting worker pid=358162 on localhost:11181 at 21:41:59.556
  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: nnls
  Loading required package: foreach
  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: 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 2022.11.28
  
  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 2022.11.28
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  
  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
  
  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: 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 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=361286 on localhost:11181 at 21:42:09.988
  starting worker pid=361287 on localhost:11181 at 21:42:10.037
  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
  
  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: splines
  Loading required package: foreach
  Loaded gam 1.22
  
  Loading required package: nnls
  Super Learner
  Loading required package: gam
  Version: 2.0-28
  Package created on 2021-05-04
  
  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 2022.11.28
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  riskRegression version 2022.11.28
  
  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. 
  ##
  
  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
  starting worker pid=363547 on localhost:11181 at 21:42:20.160
  starting worker pid=363546 on localhost:11181 at 21:42:20.193
  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
  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 2022.11.28
  
  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
  
  riskRegression version 2022.11.28
  
  Attaching package: ‘riskRegression’
  
  The following objects are masked from ‘package:pec’:
  
      ipcw, selectCox
  
  Loading required package: rngtools
  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 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. 
  
  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. 
  
  Loading required namespace: ggpp
  censoring sl error
  [ FAIL 2 | WARN 3 | SKIP 125 | PASS 1584 ]
  
  ══ Skipped tests ═══════════════════════════════════════════════════════════════
  • On CRAN (125)
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test_surv_ostmle.r:30'): 2 treatments, no conf_int, with boot ───────
  Error in `SuperLearner::SuperLearner(Y = dataList[[1]][[paste0("N", j)]][NlessthanJ == 
      0], X = dataList[[1]][NlessthanJ == 0, c("t", "trt", names(adjustVars))], 
      id = dataList[[1]]$id[NlessthanJ == 0], family = stats::binomial(), 
      SL.library = SL.ftime, verbose = verbose)`: All algorithms dropped from library
  Backtrace:
       ▆
    1. ├─base::suppressWarnings(...) at test_surv_ostmle.r:30:2
    2. │ └─base::withCallingHandlers(...)
    3. └─adjustedCurves::adjustedsurv(...)
    4.   └─adjustedCurves:::adjustedsurv_boot(...)
    5.     ├─R.utils::doCall(surv_fun, args = args)
    6.     ├─R.utils::doCall.default(surv_fun, args = args)
    7.     │ └─base::do.call(.fcn, args = args, envir = envir)
    8.     └─adjustedCurves (local) `<fn>`(...)
    9.       └─adjustedCurves:::initial_sl_fit(...)
   10.         └─survtmle::estimateHazards(...)
   11.           └─SuperLearner::SuperLearner(...)
  ── Error ('test_surv_tmle.r:30'): 2 treatments, no conf_int, with boot, using SL ──
  Error in `SuperLearner::SuperLearner(Y = dataList[[1]]$C[include], X = dataList[[1]][include, 
      c("t", "trt", names(adjustVars))], id = dataList[[1]]$id[include], 
      family = "binomial", SL.library = SL.ctime, verbose = verbose)`: All algorithms dropped from library
  Backtrace:
       ▆
    1. ├─base::suppressWarnings(...) at test_surv_tmle.r:30:2
    2. │ └─base::withCallingHandlers(...)
    3. └─adjustedCurves::adjustedsurv(...)
    4.   └─adjustedCurves:::adjustedsurv_boot(...)
    5.     ├─R.utils::doCall(surv_fun, args = args)
    6.     ├─R.utils::doCall.default(surv_fun, args = args)
    7.     │ └─base::do.call(.fcn, args = args, envir = envir)
    8.     └─adjustedCurves (local) `<fn>`(...)
    9.       └─adjustedCurves::cif_tmle(...)
   10.         └─survtmle::survtmle(...)
   11.           └─survtmle::hazard_tmle(...)
   12.             └─survtmle::estimateCensoring(...)
   13.               └─SuperLearner::SuperLearner(...)
  
  [ FAIL 2 | WARN 3 | SKIP 125 | PASS 1584 ]
  Error: Test failures
  Execution halted