Man pages for igbucur/MASSIVE
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
| alternative_determine_hyperparameters | Functioning for automatically determining MASSIVE... |
| binomial_sigma_G | Function for deriving the estimated standard deviation of the... |
| BMI_psoriasis_samples | A dataset containing results for reproducing Figure 7 in... |
| decode_IV_model | Function for decoding a character vector representing IV... |
| derive_smart_starting_points | Routine for computing smart starting points from the... |
| determine_hyperparameters | Functioning for automatically determining MASSIVE... |
| find_causal_models | Routine to find the most likely causal models using a simple... |
| find_optimum | Routine for finding MASSIVE posterior local optimum. |
| five_optima_posterior_surface | A dataset containing results for reproducing Figure 3 in... |
| generate_data_MASSIVE_model | Function to generate data from a MASSIVE generating model. |
| get_empty_IV_model | Function for generating the empty IV model (only spike... |
| get_full_IV_model | Function for generating the full IV model (only slab priors). |
| get_ML_solution | Function for deriving maximum likelihood solution given... |
| get_random_IV_model | Function for generating a random IV model (combination of... |
| institutions_macroeconomic_growth_samples | A dataset containing results for reproducing Figure 6 in... |
| integration_macroeconomic_growth_samples | A dataset containing results for reproducing Figure 6 in... |
| JAMMR_MASSIVE_comparison | A dataset containing results for reproducing Figure 5 in... |
| Laplace_approximation | Routine for computing the Laplace approximation of the... |
| MASSIVE | MASSIVE algorithm (Model Assessment and Stochastic Search for... |
| MR_regression_coefficients_to_moments | Function to extract first-order and second-order estimated... |
| neg_log_prior | Rcpp routine for computing the negative log-prior... |
| neighbor_IV_models | Function for returning the neighboring IV model, i.e., those... |
| parallel_greedy_search | Routine to perform greedy search at the beginning of MASSIVE... |
| parameter_list_to_vector | Function for converting list of parameters to vector format,... |
| parameter_vector_to_list | Function for converting vector of parameters to list format. |
| prior_comparison_samples | A dataset containing results for reproducing Figure 4 in... |
| propose_neighbor_IV_model | Proposal function for generating a random neighbor of an IV... |
| prune_model_list | Function to prune approximate IV model list returned by... |
| random_Gaussian_parameters | Generate random Gaussian distributed parameters |
| Rcpp_scaled_neg_log_gradient | Rcpp routine for computing the negative log-posterior... |
| Rcpp_scaled_neg_log_hessian | Rcpp routine for computing the negative log-posterior Hessian... |
| Rcpp_scaled_neg_log_posterior | Rcpp routine for computing the negative log-posterior... |
| robust_find_optimum | Routine for more robust local optimum search of MASSIVE... |
| safe_Laplace_approximation | Routine for computing the Laplace approximation of the... |
| sample_from_BMA_posterior | Sample from BMA posterior derived using the MASSIVE approach |
| scaled_neg_log_gradient | Routine for computing the negative log-posterior gradient for... |
| scaled_neg_log_hessian | Routine for computing the negative log-posterior Hessian for... |
| scaled_neg_log_posterior | Routine for computing the negative log-posterior distribution... |
| stochastic_greedy_search | Greedy search function in the IV model space. |
