AutoComplete | 'AutoComplete' Asks for a dataframe, a vector of collumn indices and the goal collumn and returns the data frame with the values filled |

AutoCompleteTable | 'AutoCompleteTable' Asks for a data.table, a vector of collumn indices and the goal collumn and returns the data frame with the values filled |

BestAccuracy | 'BestAccuracy' Asks for a dataframe, a vector of collumn indices and the goal collumn and returns the maximum possible value of accuracy of filling missing values |

BestAccuracyTable | 'BestAccuracyTable' Asks for a data.table, a vector of collumn indices and the goal collumn and returns the maximum possible value of accuracy of filling missing values |

BestVector | 'BestVector' Asks for a dataframe and some parameters and returns the best combination of collums to predict the missing value |

BestVectorTable | 'BestVectorTable' Asks for a data.table and some parameters and returns the best combination of collums to predict the missing value |

Candidates | 'Candidates' Asks for a dataframe and some parameters and returns how close the collums chosen can predict the goal collum Should be used mostly with generate_candidates or preferably BestVector in case you only want the best combination possible for prediction |

CandidatesTable | 'CandidatesTable' candidates implementation that asks for a data.table object |

CompleteDataset | 'CompleteDataset' Asks for a dataframe, a vector of collumn indices and the goal collumn and returns the data frame with the values filled |

CompleteDatasetTable | 'CompleteDatasetTable' Asks for a data.table, a vector of collumn indices and the goal collumn and returns the data frame with the values filled |

GenerateCandidates | 'GenerateCandidates' Asks for a dataframe and some parameters and returns all possible combinations of collums for prediction that satisfy a given error in input in a list the first element of the list are the combinations while the second is its measure of error,to get the best parameters call BestVector |

GenerateCandidatesTable | 'GenerateCandidatesTable' Asks for a data.table and some parameters and returns all possible combinations of collums for prediction that satisfy a given error in input in a list the first element of the list are the combinations while the second is its measure of error,to get the best parameters call BestVector |

MeanAccuracy | 'MeanAccuracy' Asks for a dataframe, a vector of collumn indices and the goal collumn the expected value of accuracy of filling missing values if the dataset is representative |

MeanAccuracyTable | 'MeanAccuracyTable' Asks for a data.table, a vector of collumn indices and the goal collumn the expected value of accuracy of filling missing values if the dataset is representative |

NA_VALUES | 'NA_VALUES' Asks for a dataframe and returns a table of how many missing values are in each collum |

WorstAccuracy | 'WorstAccuracy' Asks for a dataframe, a vector of collumn indices and the goal collumn and returns the minimum possible value of accuracy of filling missing values |

WorstAccuracyTable | 'WorstAccuracyTable' Asks for a data.table, a vector of collumn indices and the goal collumn and returns the minimum possible value of accuracy of filling missing values |