Tipping Point Analysis for Bayesian Dynamic Borrowing
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Documentation for package ‘tipmap’ version 0.5.1
Help Pages
| create_new_trial_data | Data on new trial in target population |
| create_posterior_data | Creates posterior distributions for a range of weights on the informative component of the robust MAP prior |
| create_prior_data | Creates input data frame for construction of MAP prior |
| create_tipmap_data | Create data frame ready to use for tipping point analysis |
| default_quantiles | Default quantiles |
| default_weights | Default weights |
| draw_beta_mixture_nsamples | Draw samples from a mixture of beta distributions |
| fit_beta_1exp | Fit beta distribution for one expert |
| fit_beta_mult_exp | Fit beta distributions for multiple experts |
| get_cum_probs_1exp | Get cumulative probabilities from distribution of chips of one expert |
| get_model_input_1exp | Transform cumulative probabilities to fit beta distributions |
| get_posterior_by_weight | Filter posterior by given weights |
| get_summary_mult_exp | Summarize expert weights |
| get_tipping_points | Identify tipping point for a specific quantile. |
| load_tipmap_data | Load exemplary datasets |
| oc_bias | Assessing bias |
| oc_coverage | Assessing coverage |
| oc_pos | Assessing probability of success |
| tipmap_darkblue | Custom dark blue |
| tipmap_lightred | Custom light red |
| tipmap_plot | Visualize tipping point analysis |