Package check result: OK

Changes to worse in reverse depends:

Package: CoTiMA
Check: examples
New result: ERROR
  Running examples in ‘CoTiMA-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: ctmaBiG
  > ### Title: ctmaBiG
  > ### Aliases: ctmaBiG
  > 
  > ### ** Examples
  > 
  > ## Not run: 
  > ##D # perform analyses of publication bias and generalizability
  > ##D CoTiMAInitFit_D_BO$activeDirectory <- "/Users/tmp/" # adapt!
  > ##D CoTiMABiG_D_BO <- ctmaBiG(ctmaInitFit=CoTiMAInitFit_D_BO, zcurve=FALSE)
  > ## End(Not run)
  > 
  > # display results
  > summary(CoTiMABiG_D_BO)
  $model
  [1] "Analysis of Publication Bias & Generalizability"
  
  $estimates
  $estimates$`Fixed Effects of Drift Coefficients`
                                V1toV1   V2toV1   V1toV2    V2toV2
  MeanOfDriftValues            -0.0590   0.0219   0.0112   -0.0539
  FixedEffect_Drift            -0.0219   0.0053   0.0024   -0.0133
  FixedEffect_DriftVariance     0.0000   0.0000   0.0000    0.0000
  FixedEffect_DriftSE           0.0004   0.0004   0.0003    0.0003
  FixedEffect_DriftUpperLimit  -0.0211   0.0061   0.0030   -0.0128
  FixedEffect_DriftLowerLimit  -0.0227   0.0046   0.0018   -0.0139
  FixedEffect_DriftZ          -54.3759  14.8119   7.5051  -46.5553
  FixedEffect_DriftProb         0.0000   0.0000   0.0000    0.0000
  tau2Drift                     0.0001   0.0001   0.0000    0.0001
  Q_Drift                     772.8941 534.5197 217.5015 1235.3390
  H2_Drift                     16.4446  11.3728   4.6277   26.2838
  H2DriftUpperLimit            18.0378  12.6111   5.2907   28.4719
  H2DriftLowerLimit            14.9920  10.2560   4.0477   24.2639
  I2_Drift                     93.9190  91.2071  78.3910   96.1954
  I2DriftUpperLimit            94.9458  92.8491  83.4677   96.7577
  I2DriftLowerLimit            92.6835  89.1880  71.7552   95.5355
  
  $estimates$Heterogeneity
                      V1toV1   V2toV1   V1toV2    V2toV2
  tau2Drift           0.0001   0.0001   0.0000    0.0001
  Q_Drift           772.8941 534.5197 217.5015 1235.3390
  H2_Drift           16.4446  11.3728   4.6277   26.2838
  H2DriftUpperLimit  18.0378  12.6111   5.2907   28.4719
  H2DriftLowerLimit  14.9920  10.2560   4.0477   24.2639
  I2_Drift           93.9190  91.2071  78.3910   96.1954
  I2DriftUpperLimit  94.9458  92.8491  83.4677   96.7577
  I2DriftLowerLimit  92.6835  89.1880  71.7552   95.5355
  
  $estimates$`I2 message`
  NULL
  
  $estimates$`Tau2 message`
  NULL
  
  $estimates$`Random Effects of Drift Coefficients`
                                      V1toV1  V2toV1  V1toV2   V2toV2
  RandomEffecttot_Drift              -0.0402  0.0114  0.0061  -0.0380
  RandomEffecttot_DriftVariance       0.0000  0.0000  0.0000   0.0000
  RandomEffecttot_DriftSE             0.0021  0.0017  0.0011   0.0021
  RandomEffecttot_DriftUpperLimit    -0.0360  0.0147  0.0082  -0.0339
  RandomEffecttot_DriftLowerLimit    -0.0444  0.0080  0.0039  -0.0420
  RandomEffecttot_DriftZ            -18.8218  6.6937  5.5527 -18.2167
  RandomEffecttot_DriftProb           0.0000  0.0000  0.0000   0.0000
  RandomEffecttot_DriftUpperLimitPI  -0.0169  0.0289  0.0153  -0.0149
  RandomEffecttot_DriftLowerLimitPI  -0.0636 -0.0062 -0.0032  -0.0611
  
  $estimates$`PET-PEESE corrections`
                   V1toV1 V2toV1 V1toV2  V2toV2
  PET_Drift       -0.0149 0.0031 0.0010 -0.0079
  PET_SE           0.0014 0.0015 0.0008  0.0010
  PEESE_Drift     -0.0206 0.0048 0.0021 -0.0126
  PEESE_SE         0.0013 0.0012 0.0007  0.0013
  PET_PEESE_Drift -0.0206 0.0048 0.0010 -0.0126
  PET_PEESE_SE     0.0013 0.0012 0.0008  0.0013
  WLS_Drift       -0.0219 0.0053 0.0024 -0.0133
  WLS_SE           0.0016 0.0012 0.0007  0.0015
  
  $estimates$`Egger's tests`
              V1toV1 V2toV1 V1toV2  V2toV2
  Egger's b0 -3.9450 1.4756 1.0961 -4.9811
  SE(b0)      0.5038 0.5854 0.3512  0.5145
  T          -7.8297 2.5207 3.1211 -9.6814
  p           0.0000 0.0152 0.0031  0.0000
  
  $estimates$`Z-Curve 2.0 Results:`
  $estimates$`Z-Curve 2.0 Results:`$`Z-Curve 2.0 analysis of V1toV1`
  Call:
  zcurve::zcurve(z = tmp1)
  
  model: EM via EM
  
      Estimate  l.CI  u.CI
  ERR    0.978 0.900 1.000
  EDR    0.710 0.377 1.000
  
  Model converged in 23 + 64 iterations
  Error in stats::prop.test(x$model$N_sig, x$model$N_all, conf.level = conf.level) : 
    'conf.level' must be a single number between 0 and 1
  Calls: summary ... print.default -> <Anonymous> -> print.summary.zcurve -> <Anonymous>
  Execution halted