# Performs a BLP Demand Estimation

## Documentation for package ‘BLPestimatoR’ version 0.3.4

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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.