Probabilistic latent variable models for metabolomic data.

Aitken | Assess convergence of an EM algorithm. |

BrainSpectra | NMR spectral data from brain tissue samples. |

estep1 | First E step of the AECM algorithm when fitting a mixture of... |

estep2 | Second E step of the AECM algorithm when fitting a mixture of... |

ht | Function to plot a heatmap of BIC values. |

loadings.jack.plot | Plot loadings and their associated confidence intervals. |

loadings.plot | Plot loadings. |

MetabolAnalyze-package | Probabilistic latent variable models for metabolomic data. |

mppca.loadings.plot | Plot loadings resulting from fitting a MPPCA model. |

mppca.metabol | Fit a mixture of probabilistic principal components analysis... |

mppca.scores.plot | Plot scores from a fitted MPPCA model |

mstep1 | First M-step of the AECM algorithm when fitting a mixture of... |

mstep2 | Second M-step of the AECM algorithm when fitting a mixture of... |

ppca.metabol | Fit a probabilistic principal components analysis (PPCA)... |

ppca.metabol.jack | Fit a probabilistic principal components analysis model to a... |

ppca.scores.plot | Plot scores from a fitted PPCA model |

ppcca.metabol | Fit a probabilistic principal components and covariates... |

ppcca.metabol.jack | Fit a probabilistic principal components and covariates... |

ppcca.scores.plot | Plot scores from a fitted PPCCA model. |

scaling | Function to scale metabolomic spectral data. |

standardize | Function to scale covariates. |

UrineSpectra | NMR metabolomic spectra from urine samples of 18 mice. |

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