Man pages for adaptr
Adaptive Trial Simulator
| adaptr-package | adaptr: Adaptive Trial Simulator |
| assert_pkgs | Check availability of required packages |
| calculate_idp | Calculate the ideal design percentage |
| calibrate_trial | Calibrate trial specification |
| cat0 | cat() with sep = "" |
| check_performance | Check performance metrics for trial simulations |
| check_remaining_arms | Check remaining arm combinations |
| cov_mat | Estimates covariance matrices used by Gaussian process... |
| dispatch_trial_runs | Simulate single trial after setting seed |
| equivalent_funs | Assert equivalent functions |
| extract_history | Extract history |
| extract_results | Extract simulation results |
| extract_results_batch | Extract results from a batch of trials from an object with... |
| extract_statuses | Extract statuses |
| find_beta_params | Find beta distribution parameters from thresholds |
| fmt_dig | Format digits before printing |
| fmt_pct | Create formatted label with absolute and relative frequencies... |
| get_draws_binom | Generate draws from posterior beta-binomial distributions |
| get_draws_generic | Generic documentation for get_draws_* functions |
| get_draws_norm | Generate draws from posterior normal distributions |
| get_ys_binom | Generate binary outcomes from binomial distributions |
| get_ys_norm | Generate normally distributed continuous outcomes |
| gp_opt | Gaussian process-based optimisation |
| make_x_scale | Make x-axis scale for history/status plots |
| make_y_scale | Make y-axis scale for history/status plots |
| plot_convergence | Plot convergence of performance metrics |
| plot_history | Plot trial metric history |
| plot_metrics_ecdf | Plot empirical cumulative distribution functions of... |
| plot_status | Plot statuses |
| pow_abs_dist | Calculates matrix of absolute distances raised to a power |
| Print methods for adaptive trial objects | |
| prob_all_equi | Calculate the probability that all arms are practically... |
| prob_best | Calculate the probabilities of each arm being the best |
| prob_better | Calculate probabilities of comparisons of arms against with... |
| prog_breaks | Generate breakpoints and other values for printing progress |
| reallocate_probs | Update allocation probabilities |
| replace_nonfinite | Replace non-finite values with other value... |
| replace_null | Replace NULL with other value (NULL-OR-operator) |
| rescale | Rescale numeric vector to sum to 1 |
| run_trial | Simulate a single trial |
| run_trials | Simulate multiple trials |
| setup_cluster | Setup default cluster for use in parallelised adaptr... |
| setup_trial | Setup a generic trial specification |
| setup_trial_binom | Setup a trial specification using a binary, binomially... |
| setup_trial_norm | Setup a trial specification using a continuous, normally... |
| stop0_warning0 | stop() and warning() with call. = FALSE |
| summarise_dist | Summarise distribution |
| summarise_num | Summarise numeric vector |
| summary | Summary of simulated trial results |
| update_saved_calibration | Update previously saved calibration result |
| update_saved_trials | Update previously saved simulation results |
| validate_trial | Validate trial specification |
| vapply_helpers | vapply helpers |
| verify_int | Verify input is single integer (potentially within range) |
| which_nearest | Find the index of value nearest to a target value |
