BLP_data |
Prepares data and parameters related to the BLP algorithm for estimation. |

demographicData_cereal |
Draws for observed heterogeneity in Nevo's cereal example. |

dstddelta_wrap |
Calculates derivatives of all shares with respect to all mean utilities in a given market. |

dstdtheta_wrap |
Calculates derivatives of all shares with respect to all non-linear parameters in a given market. |

dummies_cars |
Ownership matrix in BLP's car example. |

estimateBLP |
Performs a BLP demand estimation. |

getDelta_wrap |
Performs a contration mapping for a given set of non-linear parameters. |

getJacobian_wrap |
Calculating the Jacobian for a given set of non-linear parameters and mean utilities. |

getShareInfo |
Calculates information related to predicted shares for a given set of non-linear parameters and data. |

get_elasticities |
Calculates elasticities for a given variable and market. |

gmm_obj_wrap |
Calculating the GMM objective for a given set of non-linear parameters. |

originalDraws_cereal |
Draws for unobserved heterogeneity in Nevo's cereal example. |

productData_cars |
Product data of BLP's car example. |

productData_cereal |
Product data of Nevo's cereal example. |

simulate_BLP_dataset |
This function creates a simulated BLP dataset. |

theta_guesses_cereal |
Parameter starting guesses for Nevo's cereal example. |

update_BLP_data |
Updates the set of linear, exogenous, random coefficient, share or mean utility variable in the data object. |

w_guesses_cereal |
Mean utility starting guesses for Nevo's cereal example. |