Running ‘testthat.R’ [8m/11m]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > test_check("CohortMethod")
  Loading required package: CohortMethod
  Loading required package: DatabaseConnector
  Loading required package: Cyclops
  Loading required package: FeatureExtraction
  Loading required package: Andromeda
  Loading required package: 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
  
  attempting to download GiBleed
  trying URL 'https://raw.githubusercontent.com/OHDSI/EunomiaDatasets/main/datasets/GiBleed/GiBleed_5.3.zip'
  Content type 'application/zip' length 6861852 bytes (6.5 MB)
  ==================================================
  downloaded 6.5 MB
  
  attempting to extract and load: /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/GiBleed_5.3.zip to: /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/GiBleed_5.3.sqlite
  Cohorts created in table main.cohort
  Saving _problems/test-balance-14.R
  Initiating cluster consisting only of main thread
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1797, total rows in comparator is 830
  Sending temp tables to server
  Constructing features on server
  Fetching data from server
  Fetching data took 1.95 secs
  Fetched covariates total count is 26893
  Fetched outcomes total count is 3106
  Calling getDbCohortMethodData() for targetId 1, comparatorId 999
  Fetched cohort total rows in target is 1800, total rows in comparator is 0
  Constructing features on server
  Fetching data from server
  Fetching data took 1.52 secs
  Fetched covariates total count is 24166
  Fetched outcomes total count is 2155
  Calling getDbCohortMethodData() for targetId 998, comparatorId 999
  Fetched cohort total rows in target is 0, total rows in comparator is 0
  Fetched covariates total count is 0
  Fetched outcomes total count is 0
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t1_c2.zip for outcomeId 3
  Study population has 2627 rows
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t1_c999.zip for outcomeId 3
  Study population has 1800 rows
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t998_c999.zip for outcomeId 3
  Study population has 0 rows
  Initiating cluster consisting only of main thread
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t1_c2.zip
  Study population has 2627 rows
  Removing 6 redundant covariates
  Removing 112 infrequent covariates
  Normalizing covariates
  Tidying covariates took 8.52 secs
  Propensity model fitting finished with status OK
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t1_c999.zip
  Study population has 1800 rows
  Propensity model fitting finished with status Target or comparator cohort empty, so cannot fit model
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t998_c999.zip
  Study population has 0 rows
  Propensity model fitting finished with status No subjects in population, so cannot fit model
  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c2_o3.rds
  Population size after matching is 1660
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c999_o3.rds
  Population size after matching is 0
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t998_c999_o3.rds
  Population size after matching is 0
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c2_o3.rds
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c999_o3.rds
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c2_o3.rds
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c999_o3.rds
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c2_o3.rds
  Removed 0 (0.0%) rows from the target, 0 (0.0%) rows from the comparator not in overlap.
  Trimming removed 0 (0.0%) rows from the target, 3 (0.4%) rows from the comparator in total.
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t1_c999_o3.rds
  Removed 0 (0.0%) rows from the target, 0 (NaN%) rows from the comparator not in overlap.
  Trimming removed 0 (0.0%) rows from the target, 0 (NaN%) rows from the comparator in total.
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/Ps_l1_s1_p2_t998_c999_o3.rds
  Removed 0 (NaN%) rows from the target, 0 (NaN%) rows from the comparator not in overlap.
  Trimming removed 0 (NaN%) rows from the target, 0 (NaN%) rows from the comparator in total.
  Initiating cluster consisting only of main thread
  Computing shared balance using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add03a46d/CmData_l1_t1_c2.zip
  Study population has 2627 rows
  Population size after matching is 1660
  Saving _problems/test-eunomia-246.R
  Initiating cluster consisting only of main thread
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1797, total rows in comparator is 830
  Sending temp tables to server
  Constructing features on server
  Fetching data from server
  Fetching data took 1.12 secs
  Fetched covariates total count is 5254
  Fetched outcomes total count is 3106
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/CmData_l1_t1_c2.zip for outcomeId 3
  Study population has 2627 rows
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/CmData_l1_t1_c2.zip for outcomeId 4
  Study population has 2627 rows
  Initiating cluster consisting only of main thread
  Calling createPs() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/CmData_l1_t1_c2.zip and /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/StudyPop_l1_s1_t1_c2_o3.rds
  Removing 1 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.47 secs
  Propensity model fitting finished with status OK
  Calling createPs() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/CmData_l1_t1_c2.zip and /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/StudyPop_l1_s1_t1_c2_o4.rds
  Removing 1 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.6 secs
  Propensity model fitting finished with status OK
  Initiating cluster consisting only of main thread
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/Ps_l1_s1_p1_t1_c2_o3.rds
  Population size after matching is 1660
  Initiating cluster consisting only of main thread
  Calling fitOutcomeModel() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/CmData_l1_t1_c2.zip and /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/StratPop_l1_s1_p1_t1_c2_s1_o3.rds
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation(), performing matching etc., and calling fitOutcomeModel() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad41e73e1c/CmData_l1_t1_c2.zip for outcomeID 4
  Study population has 2627 rows
  Population size after matching is 1660
  Using prior: None 
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using prior: None 
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: POOR_BLR_STEP
  
    |                                                                            
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  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1800, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.37 secs
  Fetched covariates total count is 2730
  Fetched outcomes total count is 479
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad2925adcf/CmData_l1_t1_c2.zip for outcomeId 3
  Study population has 2630 rows
  Initiating cluster consisting only of main thread
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad2925adcf/CmData_l1_t1_c2.zip
  Study population has 2630 rows
  Removing 0 redundant covariates
  Removing 10 infrequent covariates
  Normalizing covariates
  Tidying covariates took 8.42 secs
  Propensity model fitting finished with status High correlation between covariate(s) and treatment detected. Perhaps you forgot to exclude part of the exposure definition from the covariates?
  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad2925adcf/Ps_l1_s1_p1_t1_c2_o3.rds
  Population size after matching is 0
  Initiating cluster consisting only of main thread
  Calling fitOutcomeModel() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad2925adcf/CmData_l1_t1_c2.zip and /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad2925adcf/StratPop_l1_s1_p1_t1_c2_s1_o3.rds
  Outcome model fitting status is: NO SUBJECTS IN POPULATION, CANNOT FIT
  
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  Initiating cluster consisting only of main thread
  
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  Initiating cluster consisting only of main thread
  Preparing KM plot for target_comparator 894409308, outcome 3, analysis 1
  
    |                                                                            
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    |======================================================================| 100%
  Initiating cluster consisting only of main thread
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1800, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.42 secs
  Fetched covariates total count is 5260
  Fetched outcomes total count is 479
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/CmData_l1_t1_c2.zip for outcomeId 3
  Study population has 2630 rows
  Initiating cluster consisting only of main thread
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/CmData_l1_t1_c2.zip
  Study population has 2630 rows
  Removing 1 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.36 secs
  Propensity model fitting finished with status OK
  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/Ps_l1_s1_p1_t1_c2_o3.rds
  Population size after matching is 1660
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/Ps_l1_s1_p1_t1_c2_o3.rds
  Initiating cluster consisting only of main thread
  Calling fitOutcomeModel() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/CmData_l1_t1_c2.zip and /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/StratPop_l1_s1_p1_t1_c2_s1_o3.rds
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Calling fitOutcomeModel() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/CmData_l1_t1_c2.zip and /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad1a3403ee/StratPop_l1_s1_p1_t1_c2_s2_o3.rds
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  
    |                                                                            
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    |===================================                                   |  50%
    |                                                                            
    |======================================================================| 100%
  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1800, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.75 secs
  Fetched covariates total count is 5260
  Fetched outcomes total count is 479
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1800, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.34 secs
  Fetched covariates total count is 5260
  Fetched outcomes total count is 479
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/CmData_l1_t1_c2_n4.zip for outcomeId 3
  Study population has 2630 rows
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/CmData_l1_t1_c2.zip for outcomeId 3
  Study population has 2630 rows
  Initiating cluster consisting only of main thread
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/CmData_l1_t1_c2_n4.zip
  Study population has 2630 rows
  Removing 1 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.93 secs
  Propensity model fitting finished with status OK
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/CmData_l1_t1_c2.zip
  Study population has 2630 rows
  Removing 1 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.61 secs
  Propensity model fitting finished with status OK
  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/Ps_l1_s1_p1_t1_c2_n4_o3.rds
  Population size after matching is 1660
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/Ps_l1_s1_p1_t1_c2_o3.rds
  Population size after matching is 1660
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/Ps_l1_s1_p1_t1_c2_n4_o3.rds
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/Ps_l1_s1_p1_t1_c2_o3.rds
  Initiating cluster consisting only of main thread
  Computing shared balance using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224add7ce5a6/CmData_l1_t1_c2_n4.zip
  Study population has 2630 rows
  Population size after matching is 1660
  Saving _problems/test-eunomia-692.R
  Initiating cluster consisting only of main thread
  Calling getDbCohortMethodData() for targetId 1, comparatorId 2
  Fetched cohort total rows in target is 1800, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.39 secs
  Fetched covariates total count is 5260
  Fetched outcomes total count is 479
  Initiating cluster consisting only of main thread
  Calling createStudyPopulation() using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad3289e8b0/CmData_l1_t1_c2.zip for outcomeId 3
  Study population has 2630 rows
  Initiating cluster consisting only of main thread
  Calling createPs() for shared PS using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad3289e8b0/CmData_l1_t1_c2.zip
  Study population has 2630 rows
  Removing 1 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.72 secs
  Propensity model fitting finished with status OK
  Initiating cluster consisting only of main thread
  Initiating cluster consisting only of main thread
  Performing matching etc., using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad3289e8b0/Ps_l1_s1_p1_t1_c2_o3.rds
  Population size after matching is 1660
  Initiating cluster consisting only of main thread
  Computing shared balance using /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/cmData3224ad3289e8b0/CmData_l1_t1_c2.zip
  Study population has 2630 rows
  Population size after matching is 1660
  Saving _problems/test-eunomia-827.R
  Fetched cohort total rows in target is 1797, total rows in comparator is 830
  Sending temp tables to server
  Constructing features on server
  Fetching data from server
  Fetching data took 2.48 secs
  Fetched covariates total count is 26893
  Fetched outcomes total count is 3106
  Fetched cohort total rows in target is 885, total rows in comparator is 386
  Constructing features on server
  Fetching data from server
  Fetching data took 1.55 secs
  Fetched covariates total count is 1271
  Fetched outcomes total count is 1510
  Fetched cohort total rows in target is 1797, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.73 secs
  Fetched covariates total count is 2627
  Fetched outcomes total count is 3106
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.46 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 941, total rows in comparator is 941
  Constructing features on server
  Fetching data from server
  Fetching data took 1.32 secs
  Fetched covariates total count is 1882
  Fetched outcomes total count is 2179
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.96 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 478, total rows in comparator is 522
  Constructing features on server
  Fetching data from server
  Fetching data took 1.26 secs
  Fetched covariates total count is 1000
  Fetched outcomes total count is 1158
  Fetched cohort total rows in target is 478, total rows in comparator is 522
  Constructing features on server
  Fetching data from server
  Fetching data took 1.7 secs
  Fetched covariates total count is 1000
  Fetched outcomes total count is 1158
  Fetched cohort total rows in target is 236, total rows in comparator is 236
  Constructing features on server
  Fetching data from server
  Fetching data took 1.82 secs
  Fetched covariates total count is 472
  Fetched outcomes total count is 548
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.51 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 1998, total rows in comparator is 2000
  Constructing features on server
  Fetching data from server
  Fetching data took 1.04 secs
  Fetched covariates total count is 3998
  Fetched outcomes total count is 4629
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.51 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 1203, total rows in comparator is 1223
  Constructing features on server
  Fetching data from server
  Fetching data took 1.48 secs
  Fetched covariates total count is 2426
  Fetched outcomes total count is 2796
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.35 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 988, total rows in comparator is 984
  Constructing features on server
  Fetching data from server
  Fetching data took 1.23 secs
  Fetched covariates total count is 1972
  Fetched outcomes total count is 2284
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.18 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 797, total rows in comparator is 783
  Constructing features on server
  Fetching data from server
  Fetching data took 0.987 secs
  Fetched covariates total count is 1580
  Fetched outcomes total count is 1842
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.35 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 100, total rows in comparator is 100
  Constructing features on server
  Fetching data from server
  Fetching data took 1.25 secs
  Fetched covariates total count is 200
  Fetched outcomes total count is 221
  Fetched cohort total rows in target is 1998, total rows in comparator is 2002
  Constructing features on server
  Fetching data from server
  Fetching data took 1.23 secs
  Fetched covariates total count is 4000
  Fetched outcomes total count is 4632
  Fetched cohort total rows in target is 1387, total rows in comparator is 1390
  Constructing features on server
  Fetching data from server
  Fetching data took 1.35 secs
  Fetched covariates total count is 2777
  Fetched outcomes total count is 3236
  Fetched cohort total rows in target is 86, total rows in comparator is 90
  Constructing features on server
  Fetching data from server
  Fetching data took 1.28 secs
  Fetched covariates total count is 176
  Fetched outcomes total count is 27
  # CovariateData object
  
  
  Inherits from Andromeda:
  # Andromeda object
  # Physical location:  /tmp/Rtmprm0x6R/working_dir/Rtmp1ElFcL/file3224ad4721533.duckdb
  
  Tables:
  $analysisRef (analysisId, analysisName, domainId, startDay, endDay, isBinary, missingMeansZero)
  $cohorts (rowId, treatment, personId, personSeqId, cohortStartDate, daysFromObsStart, daysToCohortEnd, daysToObsEnd)
  $covariateRef (covariateId, covariateName, analysisId, conceptId)
  $covariates (rowId, covariateId, covariateValue)
  $outcomes (rowId, outcomeId, daysToEvent)
         Event count Person count
  194133         336          254
  Study population has 820 rows
  Study population has 1000 rows
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.43 secs
  Propensity model fitting finished with status OK
  Study population has 820 rows
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.08 secs
  Propensity model fitting finished with status OK
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.16 secs
  Propensity model fitting finished with status OK
  Trimming removed 0 (0.0%) rows from the target, 0 (0.0%) rows from the comparator in total.
  Trimming removed 1 (0.3%) rows from the target, 5 (1.0%) rows from the comparator in total.
  Trimming removed 0 (0.0%) rows from the target, 0 (0.0%) rows from the comparator in total.
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 662
  Population size after matching is 662
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 662
  Population size after matching is 662
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 662
  Population size after matching is 662
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 662
  Population size after matching is 662
  Population size after matching is 820
  Population size after matching is 820
  Population size after matching is 774
  Population size after matching is 774
  Population size after matching is 582
  Population size after matching is 582
  Population size after matching is 755
  Population size after matching is 755
  Population size after matching is 774
  Population size after matching is 794
  Population size after matching is 582
  Population size after matching is 610
  Population size after matching is 754
  Population size after matching is 783
  Study population has 820 rows
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.82 secs
  Propensity model fitting finished with status OK
  Population size after matching is 584
  Saving _problems/test-parameterSweep-181.R
  Study population has 820 rows
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.02 secs
  Propensity model fitting finished with status OK
  Population size after matching is 584
  modelType: logistic ,stratified: TRUE ,useCovariates: TRUE ,bootstrapCI: FALSE
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.85 secs
  Using prior: Laplace(4.47214) None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: logistic ,stratified: TRUE ,useCovariates: FALSE ,bootstrapCI: TRUE
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Performing bootstrap estimation with 200 replicates [seed = 1]
  
  Running replicate #1
  
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  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: logistic ,stratified: FALSE ,useCovariates: TRUE ,bootstrapCI: FALSE
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.33 secs
  Using prior: Laplace(4.47214) None None 
  Using 1 thread(s)
  Using 1 thread(s)
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  Outcome model fitting status is: OK
  modelType: logistic ,stratified: FALSE ,useCovariates: FALSE ,bootstrapCI: TRUE
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Performing bootstrap estimation with 200 replicates [seed = 1]
  
  Running replicate #1
  
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  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: poisson ,stratified: TRUE ,useCovariates: TRUE ,bootstrapCI: FALSE
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 8.08 secs
  Using prior: Laplace(4.47214) None 
  Using 1 thread(s)
  Using 1 thread(s)
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  Outcome model fitting status is: OK
  modelType: poisson ,stratified: TRUE ,useCovariates: FALSE ,bootstrapCI: TRUE
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Performing bootstrap estimation with 200 replicates [seed = 1]
  
  Running replicate #1
  
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  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: poisson ,stratified: FALSE ,useCovariates: TRUE ,bootstrapCI: FALSE
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.36 secs
  Using prior: Laplace(4.47214) None None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
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  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: poisson ,stratified: FALSE ,useCovariates: FALSE ,bootstrapCI: TRUE
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Performing bootstrap estimation with 200 replicates [seed = 1]
  
  Running replicate #1
  
  Running replicate #2
  
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  Running replicate #48
  
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  Running replicate #50
  
  Running replicate #51
  
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  Running replicate #96
  
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  Running replicate #98
  
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  Running replicate #111
  
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  Running replicate #113
  
  Running replicate #114
  
  Running replicate #115
  
  Running replicate #116
  
  Running replicate #117
  
  Running replicate #118
  
  Running replicate #119
  
  Running replicate #120
  
  Running replicate #121
  
  Running replicate #122
  
  Running replicate #123
  
  Running replicate #124
  
  Running replicate #125
  
  Running replicate #126
  
  Running replicate #127
  
  Running replicate #128
  
  Running replicate #129
  
  Running replicate #130
  
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  Running replicate #132
  
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  Running replicate #134
  
  Running replicate #135
  
  Running replicate #136
  
  Running replicate #137
  
  Running replicate #138
  
  Running replicate #139
  
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  Running replicate #141
  
  Running replicate #142
  
  Running replicate #143
  
  Running replicate #144
  
  Running replicate #145
  
  Running replicate #146
  
  Running replicate #147
  
  Running replicate #148
  
  Running replicate #149
  
  Running replicate #150
  
  Running replicate #151
  
  Running replicate #152
  
  Running replicate #153
  
  Running replicate #154
  
  Running replicate #155
  
  Running replicate #156
  
  Running replicate #157
  
  Running replicate #158
  
  Running replicate #159
  
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  Running replicate #161
  
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  Running replicate #164
  
  Running replicate #165
  
  Running replicate #166
  
  Running replicate #167
  
  Running replicate #168
  
  Running replicate #169
  
  Running replicate #170
  
  Running replicate #171
  
  Running replicate #172
  
  Running replicate #173
  
  Running replicate #174
  
  Running replicate #175
  
  Running replicate #176
  
  Running replicate #177
  
  Running replicate #178
  
  Running replicate #179
  
  Running replicate #180
  
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  Running replicate #182
  
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  Running replicate #184
  
  Running replicate #185
  
  Running replicate #186
  
  Running replicate #187
  
  Running replicate #188
  
  Running replicate #189
  
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  Running replicate #191
  
  Running replicate #192
  
  Running replicate #193
  
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  Running replicate #195
  
  Running replicate #196
  
  Running replicate #197
  
  Running replicate #198
  
  Running replicate #199
  
  Running replicate #200
  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: cox ,stratified: TRUE ,useCovariates: TRUE ,bootstrapCI: FALSE
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 8.54 secs
  Using prior: Laplace(4.47214) None 
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Outcome model fitting status is: OK
  modelType: cox ,stratified: TRUE ,useCovariates: FALSE ,bootstrapCI: TRUE
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Performing bootstrap estimation with 200 replicates [seed = 1]
  
  Running replicate #1
  
  Running replicate #2
  
  Running replicate #3
  
  Running replicate #4
  
  Running replicate #5
  
  Running replicate #6
  
  Running replicate #7
  
  Running replicate #8
  
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  Running replicate #60
  
  Running replicate #61
  
  Running replicate #62
  
  Running replicate #63
  
  Running replicate #64
  
  Running replicate #65
  
  Running replicate #66
  
  Running replicate #67
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Running replicate #68
  
  Running replicate #69
  
  Running replicate #70
  
  Running replicate #71
  
  Running replicate #72
  
  Running replicate #73
  
  Running replicate #74
  
  Running replicate #75
  
  Running replicate #76
  
  Running replicate #77
  
  Running replicate #78
  
  Running replicate #79
  
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  Running replicate #81
  
  Running replicate #82
  
  Running replicate #83
  
  Running replicate #84
  
  Running replicate #85
  
  Running replicate #86
  
  Running replicate #87
  
  Running replicate #88
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Running replicate #89
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Running replicate #90
  
  Running replicate #91
  
  Running replicate #92
  
  Running replicate #93
  
  Running replicate #94
  
  Running replicate #95
  
  Running replicate #96
  
  Running replicate #97
  
  Running replicate #98
  
  Running replicate #99
  
  Running replicate #100
  
  Running replicate #101
  
  Running replicate #102
  
  Running replicate #103
  
  Running replicate #104
  
  Running replicate #105
  
  Running replicate #106
  
  Running replicate #107
  
  Running replicate #108
  
  Running replicate #109
  
  Running replicate #110
  
  Running replicate #111
  
  Running replicate #112
  
  Running replicate #113
  
  Running replicate #114
  
  Running replicate #115
  
  Running replicate #116
  
  Running replicate #117
  
  Running replicate #118
  
  Running replicate #119
  
  Running replicate #120
  
  Running replicate #121
  
  Running replicate #122
  
  Running replicate #123
  
  Running replicate #124
  
  Running replicate #125
  
  Running replicate #126
  
  Running replicate #127
  
  Running replicate #128
  
  Running replicate #129
  
  Running replicate #130
  
  Running replicate #131
  
  Running replicate #132
  
  Running replicate #133
  
  Running replicate #134
  
  Running replicate #135
  
  Running replicate #136
  
  Running replicate #137
  
  Running replicate #138
  
  Running replicate #139
  
  Running replicate #140
  
  Running replicate #141
  
  Running replicate #142
  
  Running replicate #143
  
  Running replicate #144
  
  Running replicate #145
  
  Running replicate #146
  
  Running replicate #147
  
  Running replicate #148
  
  Running replicate #149
  
  Running replicate #150
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Running replicate #151
  
  Running replicate #152
  
  Running replicate #153
  
  Running replicate #154
  
  Running replicate #155
  
  Running replicate #156
  
  Running replicate #157
  
  Running replicate #158
  
  Running replicate #159
  
  Running replicate #160
  
  Running replicate #161
  
  Running replicate #162
  
  Running replicate #163
  
  Running replicate #164
  
  Running replicate #165
  
  Running replicate #166
  
  Running replicate #167
  
  Running replicate #168
  
  Running replicate #169
  
  Running replicate #170
  
  Running replicate #171
  
  Running replicate #172
  
  Running replicate #173
  
  Running replicate #174
  
  Running replicate #175
  
  Running replicate #176
  
  Running replicate #177
  
  Running replicate #178
  
  Running replicate #179
  
  Running replicate #180
  
  Running replicate #181
  
  Running replicate #182
  
  Running replicate #183
  
  Running replicate #184
  
  Running replicate #185
  
  Running replicate #186
  
  Running replicate #187
  
  Running replicate #188
  
  Running replicate #189
  
  Running replicate #190
  
  Running replicate #191
  
  Running replicate #192
  
  Running replicate #193
  
  Running replicate #194
  
  Running replicate #195
  
  Running replicate #196
  
  Running replicate #197
  
  Running replicate #198
  
  Running replicate #199
  
  Running replicate #200
  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: cox ,stratified: FALSE ,useCovariates: TRUE ,bootstrapCI: FALSE
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.1 secs
  Using prior: Laplace(4.47214) None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  modelType: cox ,stratified: FALSE ,useCovariates: FALSE ,bootstrapCI: TRUE
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Performing bootstrap estimation with 200 replicates [seed = 1]
  
  Running replicate #1
  
  Running replicate #2
  
  Running replicate #3
  
  Running replicate #4
  
  Running replicate #5
  
  Running replicate #6
  
  Running replicate #7
  
  Running replicate #8
  
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  Running replicate #50
  
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  Running replicate #54
  
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  Running replicate #56
  
  Running replicate #57
  
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  Running replicate #86
  
  Running replicate #87
  
  Running replicate #88
  
  Running replicate #89
  
  Running replicate #90
  
  Running replicate #91
  
  Running replicate #92
  
  Running replicate #93
  
  Running replicate #94
  
  Running replicate #95
  
  Running replicate #96
  
  Running replicate #97
  
  Running replicate #98
  
  Running replicate #99
  
  Running replicate #100
  
  Running replicate #101
  
  Running replicate #102
  
  Running replicate #103
  
  Running replicate #104
  
  Running replicate #105
  
  Running replicate #106
  
  Running replicate #107
  
  Running replicate #108
  
  Running replicate #109
  
  Running replicate #110
  
  Running replicate #111
  
  Running replicate #112
  
  Running replicate #113
  
  Running replicate #114
  
  Running replicate #115
  
  Running replicate #116
  
  Running replicate #117
  
  Running replicate #118
  
  Running replicate #119
  
  Running replicate #120
  
  Running replicate #121
  
  Running replicate #122
  
  Running replicate #123
  
  Running replicate #124
  
  Running replicate #125
  
  Running replicate #126
  
  Running replicate #127
  
  Running replicate #128
  
  Running replicate #129
  
  Running replicate #130
  
  Running replicate #131
  
  Running replicate #132
  
  Running replicate #133
  
  Running replicate #134
  
  Running replicate #135
  
  Running replicate #136
  
  Running replicate #137
  
  Running replicate #138
  
  Running replicate #139
  
  Running replicate #140
  
  Running replicate #141
  
  Running replicate #142
  
  Running replicate #143
  
  Running replicate #144
  
  Running replicate #145
  
  Running replicate #146
  
  Running replicate #147
  
  Running replicate #148
  
  Running replicate #149
  
  Running replicate #150
  
  Running replicate #151
  
  Running replicate #152
  
  Running replicate #153
  
  Running replicate #154
  
  Running replicate #155
  
  Running replicate #156
  
  Running replicate #157
  
  Running replicate #158
  
  Running replicate #159
  
  Running replicate #160
  
  Running replicate #161
  
  Running replicate #162
  
  Running replicate #163
  
  Running replicate #164
  
  Running replicate #165
  
  Running replicate #166
  
  Running replicate #167
  
  Running replicate #168
  
  Running replicate #169
  
  Running replicate #170
  
  Running replicate #171
  
  Running replicate #172
  
  Running replicate #173
  
  Running replicate #174
  
  Running replicate #175
  
  Running replicate #176
  
  Running replicate #177
  
  Running replicate #178
  
  Running replicate #179
  
  Running replicate #180
  
  Running replicate #181
  
  Running replicate #182
  
  Running replicate #183
  
  Running replicate #184
  
  Running replicate #185
  
  Running replicate #186
  
  Running replicate #187
  
  Running replicate #188
  
  Running replicate #189
  
  Running replicate #190
  
  Running replicate #191
  
  Running replicate #192
  
  Running replicate #193
  
  Running replicate #194
  
  Running replicate #195
  
  Running replicate #196
  
  Running replicate #197
  
  Running replicate #198
  
  Running replicate #199
  
  Running replicate #200
  Using 1 thread(s)
  Outcome model fitting status is: OK
  IPTW
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 9.15 secs
  Propensity model fitting finished with status OK
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.22 secs
  Propensity model fitting finished with status OK
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Outcome model fitting status is: OK
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Outcome model fitting status is: OK
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.16 secs
  Propensity model fitting finished with status OK
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Using prior: None
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Using prior: None 
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Using 1 thread(s)
  Outcome model fitting status is: OK
  Study population has 820 rows
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 6.77 secs
  Propensity model fitting finished with status OK
  Population size after matching is 584
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.38 secs
  Using prior: Laplace(4.47214) None 
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Using 1 thread(s)
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  
  Warning: BLR gradient is ill-conditioned
  Enforcing convergence!
  Outcome model fitting status is: OK
            Estimate lower .95 upper .95    logRr seLogRr
  treatment  0.56250   0.23803   1.24787 -0.57536  0.4227
  Population size after matching is 4
  Population size after matching is 6
  Population size after matching is 4
  Population size after matching is 8
  Population size after matching is 10000
  Population size after matching is 7500
  Population size after matching is 1000000
  Population size after matching is 818
  Population size after matching is 451
  Population size after matching is 100
  Population size after matching is 80
  Population size after matching is 0
  Trimming removed 1500 (20.0%) rows from the target, 501 (20.0%) rows from the comparator in total.
  Trimming removed 10 (14.3%) rows from the target, 30 (100.0%) rows from the comparator in total.
  Trimming removed 1500 (20.0%) rows from the target, 501 (20.0%) rows from the comparator in total.
  Removed 49 (98.0%) rows from the target, 49 (98.0%) rows from the comparator not in overlap.
  Trimming removed 49 (98.0%) rows from the target, 49 (98.0%) rows from the comparator in total.
  Removed 3 (0.0%) rows from the target, 1 (0.0%) rows from the comparator not in overlap.
  Trimming removed 378 (5.0%) rows from the target, 126 (5.0%) rows from the comparator in total.
  Removed 3 (0.0%) rows from the target, 1 (0.0%) rows from the comparator not in overlap.
  Trimming removed 378 (5.0%) rows from the target, 126 (5.0%) rows from the comparator in total.
  Study population has 1000 rows
  Removing 0 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 8.45 secs
  Normalizing covariates
  Tidying covariates took 3.79 secs
  Propensity model fitting finished with status OK
  Fetched cohort total rows in target is 1797, total rows in comparator is 830
  Constructing features on server
  Fetching data from server
  Fetching data took 1.57 secs
  Fetched covariates total count is 22279
  Fetched outcomes total count is 3106
  Removing 4 redundant covariates
  Removing 3 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.83 secs
  Propensity model fitting finished with status OK
  Study population has 2627 rows
  Population size after matching is 1660
  Outcome model fitting status is: NO OUTCOMES FOUND FOR POPULATION, CANNOT FIT
  Study population has 2627 rows
  Population size after matching is 1660
  Removing 4 redundant covariates
  Removing 0 infrequent covariates
  Normalizing covariates
  Tidying covariates took 7.67 secs
  Outcome model fitting status is: OK
  Study population has 1 rows
  Study population has 0 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 0 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 3 rows
  Study population has 3 rows
  Study population has 1 rows
  Study population has 1 rows
  Study population has 0 rows
  Study population has 0 rows
  Propensity model fitting finished with status No subjects in population, so cannot fit model
  Trimming removed 0 (NaN%) rows from the target, 0 (NaN%) rows from the comparator in total.
  Population size after matching is 0
  Population size after matching is 0
  Study population has 0 rows
  Propensity model fitting finished with status No subjects in population, so cannot fit model
  Population size after matching is 0
  Saving _problems/test-zero_rows-74.R
  Study population has 0 rows
  Propensity model fitting finished with status No subjects in population, so cannot fit model
  Population size after matching is 0
  Outcome model fitting status is: NO SUBJECTS IN POPULATION, CANNOT FIT
  [ FAIL 6 | WARN 2 | SKIP 1 | PASS 433 ]
  
  ══ Skipped tests (1) ═══════════════════════════════════════════════════════════
  • empty test (1):
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-balance.R:14:1'): (code run outside of `test_that()`) ──────────
  Error in `summarise(group_by(inner_join(covariates, select(cohorts, "rowId", "treatment"), by = "rowId"), .data$covariateId, .data$treatment), sum = sum(as.numeric(.data$covariateValue), na.rm = TRUE), sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm = TRUE), overallSumWSqr = sum(1/overallCount^2, na.rm = TRUE), .groups = "drop")`: ℹ In argument: `sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm =
    TRUE)`
  Caused by error:
  ! In dbplyr you cannot use a variable created in the same `summarise()`.
  ✖ `sum` was created earlier in this `summarise()`.
  ℹ You need an extra `mutate()` step to use it.
  ── Error ('test-eunomia.R:235:9'): Multiple analyses ───────────────────────────
  Error in `summarise(group_by(inner_join(covariates, select(cohorts, "rowId", "treatment"), by = "rowId"), .data$covariateId, .data$treatment), sum = sum(as.numeric(.data$covariateValue), na.rm = TRUE), sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm = TRUE), overallSumWSqr = sum(1/overallCount^2, na.rm = TRUE), .groups = "drop")`: ℹ In argument: `sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm =
    TRUE)`
  Caused by error:
  ! In dbplyr you cannot use a variable created in the same `summarise()`.
  ✖ `sum` was created earlier in this `summarise()`.
  ℹ You need an extra `mutate()` step to use it.
  ── Error ('test-eunomia.R:682:9'): Combine nesting and non-nesting ─────────────
  Error in `summarise(group_by(inner_join(covariates, select(cohorts, "rowId", "treatment"), by = "rowId"), .data$covariateId, .data$treatment), sum = sum(as.numeric(.data$covariateValue), na.rm = TRUE), sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm = TRUE), overallSumWSqr = sum(1/overallCount^2, na.rm = TRUE), .groups = "drop")`: ℹ In argument: `sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm =
    TRUE)`
  Caused by error:
  ! In dbplyr you cannot use a variable created in the same `summarise()`.
  ✖ `sum` was created earlier in this `summarise()`.
  ℹ You need an extra `mutate()` step to use it.
  ── Error ('test-eunomia.R:816:9'): Use new covariate balance diagnostic threshold ──
  Error in `summarise(group_by(inner_join(covariates, select(cohorts, "rowId", "treatment"), by = "rowId"), .data$covariateId, .data$treatment), sum = sum(as.numeric(.data$covariateValue), na.rm = TRUE), sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm = TRUE), overallSumWSqr = sum(1/overallCount^2, na.rm = TRUE), .groups = "drop")`: ℹ In argument: `sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm =
    TRUE)`
  Caused by error:
  ! In dbplyr you cannot use a variable created in the same `summarise()`.
  ✖ `sum` was created earlier in this `summarise()`.
  ℹ You need an extra `mutate()` step to use it.
  ── Error ('test-parameterSweep.R:179:3'): Balance functions ────────────────────
  Error in `summarise(group_by(inner_join(covariates, select(cohorts, "rowId", "treatment"), by = "rowId"), .data$covariateId, .data$treatment), sum = sum(as.numeric(.data$covariateValue), na.rm = TRUE), sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm = TRUE), overallSumWSqr = sum(1/overallCount^2, na.rm = TRUE), .groups = "drop")`: ℹ In argument: `sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm =
    TRUE)`
  Caused by error:
  ! In dbplyr you cannot use a variable created in the same `summarise()`.
  ✖ `sum` was created earlier in this `summarise()`.
  ℹ You need an extra `mutate()` step to use it.
  ── Error ('test-zero_rows.R:74:3'): Balance functions ──────────────────────────
  Error in `summarise(group_by(inner_join(covariates, select(cohorts, "rowId", "treatment"), by = "rowId"), .data$covariateId, .data$treatment), sum = sum(as.numeric(.data$covariateValue), na.rm = TRUE), sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm = TRUE), overallSumWSqr = sum(1/overallCount^2, na.rm = TRUE), .groups = "drop")`: ℹ In argument: `sumSqr = sum(as.numeric(.data$covariateValue)^2, na.rm =
    TRUE)`
  Caused by error:
  ! In dbplyr you cannot use a variable created in the same `summarise()`.
  ✖ `sum` was created earlier in this `summarise()`.
  ℹ You need an extra `mutate()` step to use it.
  
  [ FAIL 6 | WARN 2 | SKIP 1 | PASS 433 ]
  Error:
  ! Test failures.
  Execution halted