Man pages for awstringer1/casecrossover
Approximate Bayesian Inference for Case Crossover Models
| add_log_posterior_values | Approximation to hyperparameter log-posterior |
| casecrossover | Fit a case crossover model with linear and non-parametric... |
| cc_control | Set control parameters for case-crossover models |
| compute_marginal_means_and_variances | Compute marginal means and variances |
| create_linear_constraints | Create a linear combination vector for a single-element-zero... |
| fortify_priors | Fortify a list of priors |
| get_casedays | Get a vector of case day weights from the model_data |
| get_indices | Helper function to return the correct indices for latent... |
| grad_log_likelihood | Gadient of the case-crossover log-likelihood. |
| hessian_log_likelihood_structure | Compute the negated Hessian of the log-likelihood |
| log_likelihood | Compute the log-likelihood for the model at a given parameter... |
| log_posterior_theta | Log-posterior approximation for theta and sigma |
| logprior_W | log-prior of W |
| make_linear_constraints | Make a matrix of linear constraints |
| make_model_lincombs | Marginal means/variances for linear combinations of latent... |
| marginal_hyperparameter_posterior | Marginal hyperparameter posterior |
| model_setup | Set up a casecrossover model for fitting. |
| normalize_log_posterior | Normalize log-posterior via simple numerical integration |
| normalize_optresults_logpost | Normalize the log posterior returned by the optimization |
| optimize_latentfield_trustoptim | Optimize the conditional posterior of the latent Gaussian... |
| optlist_to_tibble | Convert the output of one of my optimization functions into a... |
| pc_prior | The PC Prior for the smoothing log precision. |
| plot.cc_fit | Plot results of fitting a case crossover model. |
| prep_data_for_log_lik | Prepare the data for computing the log-likelihood |
| print.cc_summary | Print method for summary.cc_fit. |
| Q_matrix_linear | Calculate the Q matrix for a model with only linear terms. |
| sim1data | A simulated dataset for fitting case-crossover models. |
| summary.cc_fit | Summarize results of a casecrossover fit. |
| supported_prior_distributions | Supported prior distributions. |
| validate_linear_constraints | Validate your created linear constraints. |
| validate_prior_distribution | Validate a specified prior distribution. |
