Model selection procesure by contracting explanatry variables, with check of each explanatry variable's strength.

assign_gid | clusters explanatory variables of high absolute correlation |

check_contract_edge | counts numbers of variables in data after contraction under... |

check_interaction | Checks interactions in the result output of "cont_selec" |

contract | contracts explanatory variables of high absolute correlation |

cont_selec | contracts explanatory variables, conducts model selection and... |

contselec-package | Model selection procesure by contracting explanatry variables... |

get_pcom | gets PCA scores from data subset |

param0 | Default parameter set for "plot_each_effect" and... |

plot_combined_effect | plots combined effect of statistically-strong explanatory... |

plot_each_effect | plots effects of statistically-strong explanatory variables... |

pngout | saves plotting in png format |

print.selec_bestsub_stepwise | shows summary of "cont_selec" or "selec_bestsub_stepwise"... |

put_sigmark | puts sigmarks |

selec_bestsub | best-subset model selection |

selec_bestsub_stepwise | conducts best subset model selection, permutation test and... |

selec_stepwise | stepwise model selection |

summary.selec_bestsub_stepwise | shows summary of "cont_selec" or "selec_bestsub_stepwise"... |

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