Man pages for nickseedorff/bmrarm
Bayesian Mixed Response Autoregressive Models
| bmrarm | MCMC sampler to implement a bmrarm model |
| bmrarm_fc_missing | Function to sample the latent continuous values |
| bmrarm_fc_patient_siw | Function to sample the random effects and the associated... |
| bmrarm_fc_sig_beta | Function to sample regression coefficients and covariance... |
| bmrarm_fc_y_cuts | Function to sample the latent continuous values and cutpoints |
| bmrarm_mh_ar | Function to sample the autoregressive parameter |
| bmrarm_simulations | Generated datasets for bmrarm simulations |
| bmrarm_start | Create lists, vectors, and matrices for storage and passing... |
| bmrvarx | PX-DA MCMC routine to implement a bmrvarx model |
| bmrvarx_da | Gibbs DA sampler to implement a bmrvarx model |
| bmrvarx_simulations | Generated datasets for bmrvarx simulations |
| bvar | Gibbs sampler to implement a first order bvar model |
| cond_mean_part | Extract conditional mean corresponding to ordinal components |
| cont_to_cat | Discretize a latent value using cutpoints |
| create_storage | Create lists, vectors, and matrices for storage and passing... |
| dmatrix_normal_log | Function to calculate values for bmrarm_mh_ar accept reject... |
| expansion_prior | Prior for the expansion parameters |
| fc_cuts | Function to draw cutpoint parameters |
| fc_cuts_da | Function to draw cutpoint parameters for the DA... |
| fc_sigma_theta_tilde | Function to draw regression coefficients and covariance... |
| fc_sigma_theta_tilde_bvar | Full conditional draws of the regression coefficients |
| fc_y | Function to draw latent continuous values |
| first_cut_prob | Probability calculation as part of the MH-within-Gibbs step... |
| gen_ar_errors | Generate data for longitudinal simulation |
| gen_single | Generate data for time series simulation |
| get_dev | Get deviance for a single set of parameter values, used to... |
| get_DIC | Get marginal or conditional DIC for a bmrarm object |
| get_pred | Generate posterior predictive draws for bmrarm object. Not... |
| get_preds_bmrarm | Generate predictions for bmrarm object. Not intended for... |
| get_preds_bmrvarx | Generate iterative forecasts for bmrvarx object |
| get_sampling_info | Create list of sampling info to pass to functions |
| get_sig_list | Create list of covariance matrices |
| get_sig_list_marg | Create list of covariance matrices, only used in posterior... |
| get_sym_mat | Create AR matrix |
| pre_calc | Extract conditional means and variances for |
| pre_calc_ar | Obtain conditional mean and covariance for multivariate... |
| start_cuts | Starting values for cut points |
| summ | PX-DA MCMC routine to sample from HBMRVAR model |
| summary.bmrarm | Summary function for a bmrarm object |
| summary.bmrvarx | Summary function for a bmrvarx object |
| summary_preds_bmrarm | Generate predictions for bmrarm object. Not intended for... |
| tmvn_gibbs_rej | Gibbs step for truncated multivariate normal |
