| arm | Define an Arm |
| Arms | Class of Arm |
| calendarTime | Triggering condition by calendar time |
| controller | Define a Controller |
| Controllers | Class of Controller |
| CorrelatedPfsAndOs3 | Generate PFS and OS using the three-states model |
| CorrelatedPfsAndOs4 | Generate PFS, OS and objective response using the four-states model |
| default_action | default action function for dry run of a trial |
| doNothing | An action function that does nothing |
| DynamicRNGFunction | A wrapper of random number generator. |
| endpoint | Define endpoints |
| Endpoints | Class of Endpoint |
| enrollment | Triggering condition by number of randomized patients |
| eventNumber | Triggering condition by number of events or observations of an endpoint |
| fitCoxph | Fit Cox proportional hazard ratio model |
| fitFarringtonManning | Farrington-Manning test for rate difference |
| fitLinear | Fit linear regression model |
| fitLogistic | Fit logistic regression model |
| fitLogrank | Carry out log rank test |
| getAdaptiveDesignOutput | Get simulation output in the vignette adaptiveDesign.Rmd |
| getFixedDesignOutput | Get simulation output in the vignette fixedDesign.Rmd |
| GraphicalTesting | Class of GraphicalTesting |
| GroupSequentialTest | Class of GroupSequentialTest |
| listener | Define a Listener |
| Listeners | Class of Listener |
| milestone | Define a Milestone of a Trial |
| Milestones | Class of Milestones |
| PiecewiseConstantExponentialRNG | Generate time-to-event endpoint from piecewise constant exponential distribution |
| plot.milestone_time_summary | Plot Triggering Time of Milestones in Simulated Trials |
| plot.three_state_model | Plot result of three-state ill-death model |
| rconst | Generate constant variable |
| solveMixtureExponentialDistribution | Solve parameters in a mixture exponential distribution |
| solveThreeStateModel | Solve parameters in a three-state ill-death model |
| StaggeredRecruiter | Generate enrollment time from piecewise constant uniform distribution |
| summarizeDataFrame | Summarize A Data Frame |
| summarizeMilestoneTime | Summary of Milestone Time from Simulated Trials |
| trial | Define a Trial |
| Trials | Class of Trial |
| weibullDropout | Calculate Parameters of Weibull Distribution as a Dropout Method |