Manipulate Formulas and Evaluate Marginal Effects

check_names_delete | check whether list names (tobechecked) is within specified... |

check_single_numeric | check whether an object is a single numeric number |

check_vec_meaningful | check x is a meaningful vector |

deleting_wrongeffect | check monotonicity of marginal impacts and re-estimate the... |

effect | evaluate the marginal effects of the selected raw variable on... |

Enter_to_Continue | Enter_to_Continue: wait your response to continue |

expand_grid | a wrap up of 'expand.grid()' that takes list |

focusing_var_coeff | focusing on selected variables in the model, and eliminating... |

get_contrast | get contrast of categorical variables in a model |

get_data_from_lm | get raw data from lm or glm |

get_model_pair | get a list of model vars with their corresponding coeff vars... |

get_model_with_coeff | get a list of model variables with their corresponding coeff... |

get_model_with_raw | get a list of model vars with their corresponding raw vars. |

get_valid_rows | identify missing rows for model/formula. |

get_x | get x (left hand of var) from model or formula |

get_x_all | a unique combinations of model vars, coeff vars and raw vars |

get_x_hidden | the underlying function of 'get_x' |

get_y | get y (right hand of var) |

is_decrease | check whether the vector is decreasing |

is_increase | check whether the vector is increasing |

Mode | get mode number from a numeric vector |

paste_formula | paste a formula as string |

sanity_check | check x with various characters |

stepwise2 | same as 'step()' in R, but able to check marginal effects. |

stripGlmLR | make the lm or glm thin |

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