Error(s) in re-building vignettes:
  ...
--- re-building ‘From_Sensitive_Real_Identifiers_to_Synthetic_Identifiers.Rmd’ using rmarkdown
Quitting from lines 199-208 (From_Sensitive_Real_Identifiers_to_Synthetic_Identifiers.Rmd) 
Error: processing vignette 'From_Sensitive_Real_Identifiers_to_Synthetic_Identifiers.Rmd' failed with diagnostics:
there is no package called 'reclin'
--- failed re-building ‘From_Sensitive_Real_Identifiers_to_Synthetic_Identifiers.Rmd’

--- re-building ‘Generation_of_Gold_Standard_File_and_Linkage_Files.Rmd’ using rmarkdown
Quitting from lines 164-173 (Generation_of_Gold_Standard_File_and_Linkage_Files.Rmd) 
Error: processing vignette 'Generation_of_Gold_Standard_File_and_Linkage_Files.Rmd' failed with diagnostics:
there is no package called 'reclin'
--- failed re-building ‘Generation_of_Gold_Standard_File_and_Linkage_Files.Rmd’

--- re-building ‘Synthetic_Data_Generation_and_Evaluation.Rmd’ using rmarkdown
generating data using defined relationships
Warning in type.convert.default(X[[i]], ...) :
  'as.is' should be specified by the caller; using TRUE
Warning in type.convert.default(X[[i]], ...) :
  'as.is' should be specified by the caller; using TRUE
Warning in type.convert.default(X[[i]], ...) :
  'as.is' should be specified by the caller; using TRUE
Warning in type.convert.default(X[[i]], ...) :
  'as.is' should be specified by the caller; using TRUE
Warning in merge.data.frame(df, reshape::melt(table(generated_data3[target_var])),  :
  column names 'value.x', 'value.y' are duplicated in the result
Using  as id variables
Loading required package: ParamHelpers
Warning message: 'mlr' is in 'maintenance-only' mode since July 2019.
Future development will only happen in 'mlr3'
(<https://mlr3.mlr-org.com>). Due to the focus on 'mlr3' there might be
uncaught bugs meanwhile in {mlr} - please consider switching.
Warning in makeTask(type = type, data = data, weights = weights, blocking = blocking,  :
  Empty factor levels were dropped for columns: native_country
Warning in makeTask(type = type, data = data, weights = weights, blocking = blocking,  :
  Empty factor levels were dropped for columns: native_country
Warning in makeTask(type = type, data = data, weights = weights, blocking = blocking,  :
  Provided data is not a pure data.frame but from class bn.cpdist, hence it will be converted.
Warning in makeTask(type = type, data = data, weights = weights, blocking = blocking,  :
  Empty factor levels were dropped for columns: native_country
Warning in makeTask(type = type, data = data, weights = weights, blocking = blocking,  :
  Provided data is not a pure data.frame but from class bn.cpdist, hence it will be converted.
Task: new_df0, Learner: classif.rpart
Resampling: holdout
Measures:             acc       ber       f1        auc       
[Resample] iter 1:    0.8401386 0.2742090 0.8997365 0.8430715 


Aggregated Result: acc.test.mean=0.8401386,ber.test.mean=0.2742090,f1.test.mean=0.8997365,auc.test.mean=0.8430715


Task: new_df1, Learner: classif.rpart
Resampling: holdout
Measures:             acc       ber       f1        auc       
[Resample] iter 1:    0.8074882 0.3789890 0.8855691 0.6220425 


Aggregated Result: acc.test.mean=0.8074882,ber.test.mean=0.3789890,f1.test.mean=0.8855691,auc.test.mean=0.6220425


Task: new_df2, Learner: classif.rpart
Resampling: holdout
Measures:             acc       ber       f1        auc       
[Resample] iter 1:    0.7863355 0.3759166 0.8694321 0.6259237 


Aggregated Result: acc.test.mean=0.7863355,ber.test.mean=0.3759166,f1.test.mean=0.8694321,auc.test.mean=0.6259237


Task: new_df3, Learner: classif.rpart
Resampling: holdout
Measures:             acc       ber       f1        auc       
[Resample] iter 1:    0.7845666 0.4103314 0.8719835 0.5896686 


Aggregated Result: acc.test.mean=0.7845666,ber.test.mean=0.4103314,f1.test.mean=0.8719835,auc.test.mean=0.5896686


Task: new_df0, Learner: classif.logreg
Resampling: holdout
Measures:             acc       ber       f1        auc       
Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
[Resample] iter 1:    0.8479511 0.2366056 0.9022321 0.9026087 


Aggregated Result: acc.test.mean=0.8479511,ber.test.mean=0.2366056,f1.test.mean=0.9022321,auc.test.mean=0.9026087


Task: new_df1, Learner: classif.logreg
Resampling: holdout
Measures:             acc       ber       f1        auc       
Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
[Resample] iter 1:    0.8005601 0.3769685 0.8802761 0.6045978 


Aggregated Result: acc.test.mean=0.8005601,ber.test.mean=0.3769685,f1.test.mean=0.8802761,auc.test.mean=0.6045978


Task: new_df2, Learner: classif.logreg
Resampling: holdout
Measures:             acc       ber       f1        auc       
Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
[Resample] iter 1:    0.8051297 0.3690590 0.8828430 0.8447065 


Aggregated Result: acc.test.mean=0.8051297,ber.test.mean=0.3690590,f1.test.mean=0.8828430,auc.test.mean=0.8447065


Task: new_df3, Learner: classif.logreg
Resampling: holdout
Measures:             acc       ber       f1        auc       
Warning: glm.fit: fitted probabilities numerically 0 or 1 occurred
[Resample] iter 1:    0.7888414 0.3887949 0.8727967 0.5469897 


Aggregated Result: acc.test.mean=0.7888414,ber.test.mean=0.3887949,f1.test.mean=0.8727967,auc.test.mean=0.5469897


--- finished re-building ‘Synthetic_Data_Generation_and_Evaluation.Rmd’

--- re-building ‘sdglinkage_README.Rmd’ using rmarkdown
--- finished re-building ‘sdglinkage_README.Rmd’

SUMMARY: processing the following files failed:
  ‘From_Sensitive_Real_Identifiers_to_Synthetic_Identifiers.Rmd’
  ‘Generation_of_Gold_Standard_File_and_Linkage_Files.Rmd’

Error: Vignette re-building failed.
Execution halted