Man pages for JasperHG90/blm
Bayesian linear model
| blm | Create a blm object |
| blm_setup | Initial setup for blm package. |
| blmsim | Generate a dataset with normal variables and outcome for... |
| chain | Set up a single chain to pass onto an MCMC sampler |
| compute_null_model | Compute the intercept-only model for comparison purposes |
| contains | Check if a list / object contains a value |
| delete_posterior | Remove the posterior samples from a blm object. |
| directors | Compensation of 336 independent directors in S&P500 firms |
| draw_value | Draw a value from a prior distribution |
| evaluate_accepted_draws | View the number of accepted posterior draws for each... |
| evaluate_convergence_diagnostics | Print diagnostics |
| evaluate_effective_sample_size | Calculate the effective sample size |
| evaluate_hypotheses | Evaluate hypotheses specified by the user |
| evaluate_model_BF | Evaluate the model Bayes Factor |
| evaluate_model_fit | Assess blm model fit |
| evaluate_ppc | Set up posterior predictive checks |
| evaluate_ppd | Evaluate the posterior predictive distributions for each... |
| evaluate_R2 | Calculate the Bayesian R-squared value |
| get_parameter_names | Retrieve mapping from variable to parameter names |
| get_posterior_samples | Retrieve the posterior samples as a data frame from a blm... |
| get_value | Get a value from an S3 object |
| homoskedast_check | Check a posterior sample for homoskedasticity assumption |
| hypothesis | Pass a hypothesis and parse it. THen return object of class... |
| independence_check | Check a posterior sample for independence of errors... |
| normality_check | Check a posterior sample for normality assumption |
| norm_of_errors_check | Check a posterior sample for the assumption that errors are... |
| plot.blm | Plot a blm object |
| plot.ppc | Plot posterior predictive samples |
| posterior | Sets up posterior class used to store posterior samples |
| prior | Sets up a prior class |
| priors | Priors class |
| sample_posterior | Sample the posterior distribution |
| sampler | Sets up a sampler class |
| set_hypothesis | Add a hypothesis to a blm model |
| set_initial_values | Set initial values for a chain |
| set_prior | Change priors for available parameters |
| set_sampler | Update the sampler used for a specific variable |
| set_sampling_options | Set sampling options on a blm object |
| set_value | Set a value for an S3 object |
| summary.DIC | Summary method for DIC |
| theme_blm | Custom theme for blm plots |
| update_posterior | Draw more samples from a sampled posterior distribution. |
