Description Usage Arguments Value Examples

TS.Lasso recovers the abundance of various types of missing peaks.

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`input_data` |
Raw abundance matrix with missing value, with features in rows and samples in columns. |

`alpha` |
Weights for L1 penalty in Elastic Net. The default and suggested value is alpha=1, which is for Lasso. |

`nfolds` |
The number of folds used in parameter (lambda) tuning. |

`log.scale` |
Whether the input_data needs log scale transform.The default is log.scale=T, assuming input_data is the raw abundance matrix. If input_data is log abundance matrix, set log.scale=F. |

`imputed.final` |
The imputed abundance matrix at the scale of input_data. |

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