This class captures trial simulations from designs using pseudo model.
It has additional slots
fit and stop_reasons compared to the
general class GeneralSimulations.
Usage
PseudoSimulations(
fit,
final_td_target_during_trial_estimates,
final_td_target_end_of_trial_estimates,
final_td_target_during_trial_at_dose_grid,
final_td_target_end_of_trial_at_dose_grid,
final_tdeot_cis,
final_tdeot_ratios,
final_cis,
final_ratios,
stop_report,
stop_reasons,
...
)
.DefaultPseudoSimulations()Arguments
- fit
(
list)
see slot definition.- final_td_target_during_trial_estimates
(
numeric)
see slot definition.- final_td_target_end_of_trial_estimates
(
numeric)
see slot definition.- final_td_target_during_trial_at_dose_grid
(
numeric)
see slot definition.- final_td_target_end_of_trial_at_dose_grid
(
numeric)
see slot definition.- final_tdeot_cis
(
list)
see slot definition.- final_tdeot_ratios
(
numeric)
see slot definition.- final_cis
(
list)
see slot definition.- final_ratios
(
numeric)
see slot definition.- stop_report
see
PseudoSimulations- stop_reasons
(
list)
see slot definition.- ...
additional parameters from
GeneralSimulations
Slots
fit(
list)
final fit values.final_td_target_during_trial_estimates(
numeric)
final estimates of thetd_target_during_trial.final_td_target_end_of_trial_estimates(
numeric)
final estimates of thetd_target_end_of_trial.final_td_target_during_trial_at_dose_grid(
numeric)
dose levels at dose grid closest below the finaltd_target_during_trialestimates.final_td_target_end_of_trial_at_dose_grid(
numeric)
dose levels at dose grid closest below the finaltd_target_end_of_trialestimates.final_tdeot_cis(
list)
95% credibility intervals of the final estimates fortd_target_end_of_trial.final_tdeot_ratios(
numeric)
ratio of the upper to the lower 95% credibility intervals fortd_target_end_of_trial.final_cis(
list)
final 95% credibility intervals fortd_target_end_of_trialestimates.final_ratios(
numeric)
final ratios of the upper to the lower 95% credibility interval fortd_target_end_of_trial.stop_report(
matrix)
outcomes of stopping rules.stop_reasons(
list)
reasons for stopping each simulation run.
