What the package does (short line)

checkDesignMatrix | Check Design Matrix Columns for nObs<=thres |

ClassificationResult | Create Classification result table |

coefLU | Extract model coefficients |

coefscale | Coefficients corresponding to a standardized X |

createCVData | Create LU Cross Validation Data |

createLUFolds | Create LU folds |

extractFeatures | Extract selected Features |

extractPositions | Extract positions of selected features |

GenFileName | Generate indexed filename |

genLambdaSequence | Generate Lambda Sequence |

GenList | Generate a single listed object from indexed files |

GenLUSample | Generate L/U sample |

GenPNSample | Generate P/N sample |

GenSparseX | Generate Sparse Matrix X |

IPSWeights | Inverse probability sampling weight |

L1Objective_wLogistics | L1 objective function of weighted logistic regression |

LoadFiles | Load all indexed files in working directory |

norm_vec | Various norms of vector |

obsLoglik | Calcualate observed log-likelihood for each of the... |

ObsLogLik_wL1penalty | Observed log-likelihood function with L1 penalty |

predict_log | Model predictions |

PUlearning-package | What the package does (short line) |

reviseDesignMatrix | Merge columns whose observations < cutoff |

SparseLU | Sparse EM for PU data |

SparseLU.Xscale | Standardize augmented X matrix |

summary.LUfits | Summary of LUfits |

weightedX | Calculate scaled X with scaled center |

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