Compositional Data Regression

cglasso | Fits regularization paths for group-lasso penalized learning... |

classo | Fits regularization paths for lasso penalized learning... |

coef.compCL | get coefficients or make coefficient predictions from and... |

coef.cv.compCL | get coefficients or make coefficient predictions from a... |

coef.cv.FuncompCGL | get coefficients or make coefficient predictions from a... |

coef.FuncompCGL | get coefficients or make coefficient predictions from and... |

coef.GIC.compCL | get coefficients or make coefficient predictions from a... |

compCL | Fits regularization paths for longitudinal compositional data... |

comp_simulation | Simulation for composition data |

cv.compCL | Cross-validation for compCL |

cv.FuncompCGL | Cross-validation for FuncompCGL |

ERROR_fun | error function |

FuncompCGL | Fits regularization paths for longitudinal compositional data... |

Genbasis | Basis matrix generation |

get.GIC | GIC criterion selection for FuncompCGL |

GIC.compCL | GIC cirterion selection for compCL |

GIC.FuncompCGL | GIC cirterion selection for FuncompCGL |

ITG_step | Itegration by step function |

ITG_trap | Itegration by trapezoidal |

KKT_glasso | check KKT condition for solution for "FuncompCGL". check KKT... |

Model | Simulation model1 for longitudinal composition data |

Model2 | Simulation model2 for longitudinal composition data |

plot.cv.compCL | plot the cross-validation curve produced by "cv.compCL"... |

plot.cv.FuncompCGL | plot the cross-validation curve produced by cv.FuncompCGL |

plot.FuncompCGL | plot coefficients from a '"FuncompCGL"' object |

predict.compCL | make predictions from a "compCL" object |

predict.FuncompCGL | make predictions from a "FuncompCGL" object |

print.compCL | print a "compCL" object |

print.FuncompCGL | print a "FuncompCGL" object |

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