API for igbucur/MASSIVE
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
| Global functions | |
|---|---|
| BMI_psoriasis_samples | Man page |
| JAMMR_MASSIVE_comparison | Man page |
| Laplace_approximation | Man page Source code |
| MASSIVE | Man page Source code |
| MR_regression_coefficients_to_moments | Man page Source code |
| Rcpp_scaled_neg_log_gradient | Man page Source code |
| Rcpp_scaled_neg_log_hessian | Man page Source code |
| Rcpp_scaled_neg_log_posterior | Man page Source code |
| alternative_determine_hyperparameters | Man page Source code |
| binomial_sigma_G | Man page Source code |
| decode_IV_model | Man page Source code |
| derive_smart_starting_points | Man page Source code |
| determine_hyperparameters | Man page Source code |
| find_causal_models | Man page Source code |
| find_optimum | Man page Source code |
| five_optima_posterior_surface | Man page |
| generate_data_MASSIVE_model | Man page Source code |
| get_ML_solution | Man page Source code |
| get_empty_IV_model | Man page Source code |
| get_full_IV_model | Man page Source code |
| get_random_IV_model | Man page Source code |
| institutions_macroeconomic_growth_samples | Man page |
| integration_macroeconomic_growth_samples | Man page |
| neg_log_prior | Man page |
| neighbor_IV_models | Man page Source code |
| parallel_greedy_search | Man page Source code |
| parameter_list_to_vector | Man page Source code |
| parameter_vector_to_list | Man page Source code |
| prior_comparison_samples | Man page |
| propose_neighbor_IV_model | Man page Source code |
| prune_model_list | Man page Source code |
| random_Gaussian_parameters | Man page Source code |
| robust_find_optimum | Man page Source code |
| safe_Laplace_approximation | Man page Source code |
| sample_from_BMA_posterior | Man page Source code |
| scaled_neg_log_gradient | Man page Source code |
| scaled_neg_log_hessian | Man page Source code |
| scaled_neg_log_posterior | Man page Source code |
| stochastic_greedy_search | Man page Source code |
