Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data

plot.eclust | Plot Heatmap of Cluster Summaries by Exposure Status |

plot.similarity | Function to generate heatmap |

r_cluster_data | Cluster data using environmental exposure |

r_prepare_data | Prepare data for regression routines |

s_generate_data | Generate linear response data and test and training sets for... |

s_generate_data_mars | Generate non linear response and test and training sets for... |

simdata | Simulated Data with Environment Dependent Correlations |

s_mars_clust | Fit MARS Models on Simulated Cluster Summaries |

s_mars_separate | Fit Multivariate Adaptive Regression Splines on Simulated... |

s_modules | Simulate Covariates With Exposure Dependent Correlations |

s_pen_clust | Fit Penalized Regression Models on Simulated Cluster... |

s_pen_separate | Fit Penalized Regression Models on Simulated Data |

s_response | Generate True Response vector for Linear Simulation |

s_response_mars | Generate True Response vector for Non-Linear Simulation |

tcgaov | Subset of TCGA mRNA Ovarian serous cystadenocarcinoma data |

u_cluster_similarity | Cluster similarity matrix |

u_extract_selected_earth | Get selected terms from an earth object |

u_extract_summary | Calculates cluster summaries |

u_fisherZ | Calculate Fisher's Z Transformation for Correlations |

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