Running 'testthat.R' [239s/258s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
  > library(testthat)
  > library("InformativeCensoring")
  Loading required package: survival
  
  Attaching package: 'InformativeCensoring'
  
  The following object is masked from 'package:survival':
  
      cox.zph
  
  > 
  > test_check("InformativeCensoring")
  -- 1. Failure: GammaImputeSet_object (@test-gammaImputedata.R#25)  -------------
  "matrix" not equal to class(imputed.data.sets$impute.time).
  Lengths differ: 1 is not 2
  
  -- 2. Failure: GammaImputeSet_object (@test-gammaImputedata.R#26)  -------------
  "matrix" not equal to class(imputed.data.sets$impute.event).
  Lengths differ: 1 is not 2
  
  -- 3. Failure: GammaStatSet (@test-gammaStat.R#115)  ---------------------------
  "matrix" not equal to class(ans$statistics$estimates).
  Lengths differ: 1 is not 2
  
  -- 4. Failure: GammaStatSet (@test-gammaStat.R#116)  ---------------------------
  "matrix" not equal to class(ans$statistics$vars).
  Lengths differ: 1 is not 2
  
  -- 5. Failure: GammaStatSet_multiplecovar (@test-gammaStat.R#140)  -------------
  "matrix" not equal to class(ans$statistics$estimates).
  Lengths differ: 1 is not 2
  
  -- 6. Failure: GammaStatSet_multiplecovar (@test-gammaStat.R#141)  -------------
  "matrix" not equal to class(ans$statistics$vars).
  Lengths differ: 1 is not 2
  
  -- 7. Failure: summary_1_covar (@test-gammaStat.R#171)  ------------------------
  "matrix" not equal to class(ans).
  Lengths differ: 1 is not 2
  
  -- 8. Failure: ScoreImputeSet_extract (@test-scoreExtract.R#32)  ---------------
  "matrix" not equal to class(ans$impute.time).
  Lengths differ: 1 is not 2
  
  -- 9. Failure: ScoreImputeSet_extract (@test-scoreExtract.R#33)  ---------------
  "matrix" not equal to class(ans$impute.event).
  Lengths differ: 1 is not 2
  
   ----------- FAILURE REPORT -------------- 
   --- failure: the condition has length > 1 ---
   --- srcref --- 
  : 
   --- package (from environment) --- 
  InformativeCensoring
   --- call from context --- 
  .Testsurvdiff(object, formula, rho = 0, method = "logrank", ...)
   --- call from argument --- 
  if (class(model$obs) == "matrix") sum(model$obs[2, ] - model$exp[2, 
      ]) else (model$obs[2] - model$exp[2])
   --- R stacktrace ---
  where 1: .Testsurvdiff(object, formula, rho = 0, method = "logrank", ...)
  where 2: switch(method, logrank = .Testlogrank, Wilcoxon = .Testwilcoxon, 
      Cox = .Testcox, exponential = .TestExponential, weibull = .TestWeibull, 
      function(object, formula, ...) {
          stop("Unknown test type")
      })(object, formula, ...)
  where 3: .imputeStat.internal(object, method, formula, ...)
  where 4: ImputeStat.ScoreImputedData(scoreData, method = "logrank", formula = ~my.arm + 
      strata(Z1))
  where 5 at testthat/test-scoreStat.R#167: ImputeStat(scoreData, method = "logrank", formula = ~my.arm + 
      strata(Z1))
  where 6: eval(code, test_env)
  where 7: eval(code, test_env)
  where 8: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 9: doTryCatch(return(expr), name, parentenv, handler)
  where 10: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 11: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 12: doTryCatch(return(expr), name, parentenv, handler)
  where 13: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 14: tryCatchList(expr, classes, parentenv, handlers)
  where 15: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 16: test_code(desc, code, env = parent.frame())
  where 17 at testthat/test-scoreStat.R#165: test_that("Logrank_Wilcoxon_usersupplied_formula", {
      scoreData <- mockImputed()
      a <- ImputeStat(scoreData, method = "logrank", formula = ~my.arm + 
          strata(Z1))
      expect_equal(a$statistic, sum(a$model$obs[2, ] - a$model$exp[2, 
          ])/sqrt(a$model$var[2, 2]))
      scoreData <- mockImputed()
      a <- ImputeStat(scoreData, method = "logrank", formula = ~my.arm + 
          strata(Z1, Z3))
      a2 <- ImputeStat(scoreData, method = "logrank", formula = ~my.arm + 
          strata(Z3) + strata(Z1))
      expect_equal(as.vector(a), as.vector(a2))
  })
  where 18: eval(code, test_env)
  where 19: eval(code, test_env)
  where 20: withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error)
  where 21: doTryCatch(return(expr), name, parentenv, handler)
  where 22: tryCatchOne(expr, names, parentenv, handlers[[1L]])
  where 23: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
  where 24: doTryCatch(return(expr), name, parentenv, handler)
  where 25: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]), 
      names[nh], parentenv, handlers[[nh]])
  where 26: tryCatchList(expr, classes, parentenv, handlers)
  where 27: tryCatch(withCallingHandlers({
      eval(code, test_env)
      if (!handled && !is.null(test)) {
          skip_empty()
      }
  }, expectation = handle_expectation, skip = handle_skip, warning = handle_warning, 
      message = handle_message, error = handle_error), error = handle_fatal, 
      skip = function(e) {
      })
  where 28: test_code(NULL, exprs, env)
  where 29: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
  where 30: force(code)
  where 31: doWithOneRestart(return(expr), restart)
  where 32: withOneRestart(expr, restarts[[1L]])
  where 33: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 34: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter, 
      {
          reporter$start_file(basename(path))
          lister$start_file(basename(path))
          source_file(path, new.env(parent = env), chdir = TRUE, 
              wrap = wrap)
          reporter$.end_context()
          reporter$end_file()
      })
  where 35: FUN(X[[i]], ...)
  where 36: lapply(paths, test_file, env = env, reporter = current_reporter, 
      start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
  where 37: force(code)
  where 38: doWithOneRestart(return(expr), restart)
  where 39: withOneRestart(expr, restarts[[1L]])
  where 40: withRestarts(testthat_abort_reporter = function() NULL, force(code))
  where 41: with_reporter(reporter = current_reporter, results <- lapply(paths, 
      test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE, 
      load_helpers = FALSE, wrap = wrap))
  where 42: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 43: test_dir(path = test_path, reporter = reporter, env = env, filter = filter, 
      ..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning, 
      wrap = wrap)
  where 44: test_package_dir(package = package, test_path = test_path, filter = filter, 
      reporter = reporter, ..., stop_on_failure = stop_on_failure, 
      stop_on_warning = stop_on_warning, wrap = wrap)
  where 45: test_check("InformativeCensoring")
  
   --- value of length: 2 type: logical ---
  [1]  TRUE FALSE
   --- function from context --- 
  function (object, formula, rho, method, ...) 
  {
      model <- survdiff(formula = formula, data = object$data, 
          rho = rho, ...)
      list(model = model, method = paste(method, "(estimator for O-E)"), 
          estimate = if (class(model$obs) == "matrix") sum(model$obs[2, 
              ] - model$exp[2, ]) else (model$obs[2] - model$exp[2]), 
          var = model$var[2, 2])
  }
  <bytecode: 0xb1fde70>
  <environment: namespace:InformativeCensoring>
   --- function search by body ---
  Function .Testsurvdiff in namespace InformativeCensoring has this body.
   ----------- END OF FAILURE REPORT -------------- 
  -- 10. Error: Logrank_Wilcoxon_usersupplied_formula (@test-scoreStat.R#167)  ---
  the condition has length > 1
  Backtrace:
   1. InformativeCensoring::ImputeStat(...)
   2. InformativeCensoring:::ImputeStat.ScoreImputedData(...)
   3. InformativeCensoring:::.imputeStat.internal(...)
   4. switch(method, logrank = .Testlogrank, Wilcoxon = .Testwilcoxon, ...
   5. InformativeCensoring:::.Testsurvdiff(...)
  
  == testthat results  ===========================================================
  [ OK: 490 | SKIPPED: 0 | WARNINGS: 19 | FAILED: 10 ]
  1.  Failure: GammaImputeSet_object (@test-gammaImputedata.R#25) 
  2.  Failure: GammaImputeSet_object (@test-gammaImputedata.R#26) 
  3.  Failure: GammaStatSet (@test-gammaStat.R#115) 
  4.  Failure: GammaStatSet (@test-gammaStat.R#116) 
  5.  Failure: GammaStatSet_multiplecovar (@test-gammaStat.R#140) 
  6.  Failure: GammaStatSet_multiplecovar (@test-gammaStat.R#141) 
  7.  Failure: summary_1_covar (@test-gammaStat.R#171) 
  8.  Failure: ScoreImputeSet_extract (@test-scoreExtract.R#32) 
  9.  Failure: ScoreImputeSet_extract (@test-scoreExtract.R#33) 
  10. Error: Logrank_Wilcoxon_usersupplied_formula (@test-scoreStat.R#167) 
  
  Error: testthat unit tests failed
  Execution halted