Matrix Completion via Iterative Soft-Thresholded SVD

biScale | standardize a matrix to have optionally row means zero and... |

complete | make predictions from an svd object |

deBias | Recompute the '$d' component of a '"softImpute"' object... |

Incomplete | create a matrix of class 'Incomplete' |

Incomplete-class | Class '"Incomplete"' |

lambda0 | compute the smallest value for 'lambda' such that... |

softImpute | impute missing values for a matrix via nuclear-norm... |

softImpute-internal | Internal softImpute functions |

SparseplusLowRank-class | Class '"SparseplusLowRank"' |

splr | create a 'SparseplusLowRank' object |

svd.als | compute a low rank soft-thresholded svd by alternating... |

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