blp                     BLP contraction mapping
blp.choicer_mnl         BLP contraction mapping for multinomial logit
                        model
blp.choicer_mxl         BLP contraction mapping for mixed logit model
blp_contraction         BLP95 contraction mapping to find delta given
                        target shares
build_var_mat           Reconstruct variance matrix L from L_params
coef.choicer_fit        Extract coefficients from a choicer_fit object
diversion_ratios        Compute aggregate diversion ratios
diversion_ratios.choicer_mnl
                        Diversion ratios for multinomial logit model
diversion_ratios.choicer_mxl
                        Diversion ratios for mixed logit model
elasticities            Compute aggregate elasticities
elasticities.choicer_mnl
                        Elasticities for multinomial logit model
elasticities.choicer_mxl
                        Elasticities for mixed logit model
get_halton_normals      Halton draws for mixed logit
jacobian_vech_Sigma     Utility to compute analytical Jacobian of
                        random coefficient matrix transformed by vech
                        (dVech(Sigma) / dTheta)
logLik.choicer_fit      Extract log-likelihood from a choicer_fit
                        object
mc_asymptotics          Asymptotic diagnostics for a Monte Carlo study
mnl_diversion_ratios_parallel
                        Compute MNL diversion ratios (parallelized over
                        individuals)
mnl_elasticities_parallel
                        Compute aggregate elasticities for MNL model
mnl_loglik_gradient_parallel
                        Log-likelihood and gradient for multinomial
                        logit model
mnl_loglik_hessian_parallel
                        Hessian matrix for multinomial logit model
mnl_predict             Prediction of choice probabilities and
                        utilities based on fitted model
mnl_predict_shares      Prediction of market shares based on fitted
                        model
monte_carlo             Monte Carlo parameter recovery
mxl_bhhh_parallel       BHHH (outer product of gradients) information
                        matrix for Mixed Logit
mxl_blp_contraction     BLP contraction mapping for mixed logit
mxl_diversion_ratios_parallel
                        Diversion ratios for Mixed Logit (simulated,
                        derivative-based)
mxl_elasticities_parallel
                        Compute aggregate elasticities for mixed logit
                        model
mxl_hessian_parallel    Analytical Hessian of the log-likelihood v2
mxl_loglik_gradient_parallel
                        Log-likelihood and gradient for Mixed Logit
mxl_predict             Per-observation simulated choice probabilities
                        for Mixed Logit
mxl_predict_shares      Predicted aggregate market shares for Mixed
                        Logit
new_choicer_sim         Construct a 'choicer_sim' object
nl_loglik_gradient_parallel
                        Log-likelihood and gradient for Nested Logit
                        model
nl_loglik_numeric_hessian
                        Numerical Hessian of the log-likelihood via
                        finite differences
nobs.choicer_fit        Extract number of observations from a
                        choicer_fit object
predict.choicer_mnl     Predict from a multinomial logit model
predict.choicer_mxl     Predict from a mixed logit model
prepare_mnl_data        Prepare inputs for
                        'mnl_loglik_gradient_parallel()'
prepare_mxl_data        Prepare inputs for
                        'mxl_loglik_gradient_parallel()'
prepare_nl_data         Prepare inputs for nested logit estimation
print.choicer_fit       Print a choicer_fit object
print.summary.choicer_mnl
                        Print summary for multinomial logit model
print.summary.choicer_mxl
                        Print summary for mixed logit model
print.summary.choicer_nl
                        Print summary for nested logit model
recovery_table          Parameter recovery table
run_mnlogit             Runs multinomial logit estimation
run_mxlogit             Runs mixed logit estimation
run_nestlogit           Runs nested logit estimation
simulate_mnl_data       Simulate multinomial logit data
simulate_mxl_data       Simulate mixed logit data
simulate_nl_data        Simulate nested logit data
summary.choicer_mnl     Summary for multinomial logit model
summary.choicer_mxl     Summary for mixed logit model
summary.choicer_nl      Summary for nested logit model
vcov.choicer_fit        Extract variance-covariance matrix from a
                        choicer_fit object
