| all_cause_mortality | Life table for the US in 2015 |
| calculate_ce_out | Calculate cost-effectiveness outcomes |
| calibration_out | Generate model outputs for calibration from a parameter set |
| ce_model | Cost-effectiveness model |
| darthpack | 'darthpack' package |
| data_summary | Summarize posterior output |
| decision_model | Decision model |
| df_calibration_targets | Calibration targets for the CDX2 STM model |
| df_cea_psa | Cost-effectiveness results from probabilistic analysis |
| df_posterior_summ | Posterior distribution of calibrated parameters |
| equal_breaks | Equal number of breaks |
| generate_params_bounds | Generate lower and upper bound of the CEA parameters |
| generate_psa_params | Generate PSA dataset of CEA parameters |
| get_os | Get operating system |
| likelihood | Likelihood |
| load_all_params | Load all parameters |
| load_mort_data | Load mortality data |
| load_params_init | Base-case initial parameter set |
| log_lik | Log-likelihood function for a parameter set |
| log_lik_par | Parallel evaluation of log-likelihood function for a sets of... |
| log_post | Evaluate log-posterior of calibrated parameters |
| log_prior | Evaluate log-prior of calibrated parameters |
| l_psa | PSA object of the cost-effectiveness analysis decision model |
| m_calib_post | Posterior distribution of calibrated parameters |
| open_guide | Open UserGuide of the package |
| pipe | Pipe operator |
| plot_trace | Plot cohort trace |
| posterior | Evaluate posterior of calibrated parameters |
| prior | Evaluate prior of calibrated parameters |
| run_probsa | Run a probabilistic sensitivity analysis (ProbSA) of the... |
| sample.prior | Sample from prior distributions of calibrated parameters |
| update_param_list | Update parameters |
| v_calib_post_map | Maximum-a-posteriori (MAP) estimate of calibrated parameters |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.