Package index • TrialSimulator

Define a trial

Building blocks of a simulated trial.

trial(): Define a Trial
arm(): Define an Arm
endpoint(): Define Endpoints
regimen(): Define a Regimen
StaggeredRecruiter(): Generate Enrollment Time from Piecewise Constant Uniform Distribution

Register milestones and the conditions that trigger them.

milestone(): Define a Milestone
listener(): Define a Listener
controller(): Define a Controller
calendarTime(): Triggering Condition by Calendar Time
enrollment(): Triggering Condition by Number of Randomized Patients
eventNumber(): Triggering Condition by Number of Events or Non-missing Observations of an Endpoint
doNothing(): An Action Function that Does Nothing

Methods called within action functions to adapt an ongoing trial.

add_arms(): Adding One or More Arms to a Trial
remove_arms(): Removing One or More Arms From a Trial
resize(): Resizing a Trial
update_sample_ratio(): Updating Sampling Ratios of Existing Arms in a Trial
update_generator(): Updating Data Generators of One or More Endpoints in an Arm
crossover(): Crossover at a Milestone
stop_followup(): Stopping Follow-Up of Selected Patients in a Trial
update_accrual_rate(): Updating the Accrual Rate of a Trial at a Milestone
update_milestone(): Updating a Not-Yet-Triggered Milestone of a Trial

Model fitting and multiplicity-controlled testing.

DynamicRNGFunction(): A wrapper of random number generator.
PiecewiseConstantExponentialRNG(): Generate Time-to-Event Endpoint from Piecewise Constant Exponential Distribution
CorrelatedPfsAndOs2(): Generate Correlated PFS and OS Using Gumbel Copula
CorrelatedPfsAndOs3(): Generate Correlated PFS and OS Using the Three-States Illness-Death Model
CorrelatedPfsAndOs4(): Generate Correlated PFS, OS and Objective Response
rconst(): Generate Constant Variable
qPiecewiseExponential(): Quantile Function of Piecewise Exponential Distribution
solveMixtureExponentialDistribution(): Solve Parameters in a Mixture Exponential Distribution
solvePiecewiseConstantExponentialDistribution(): Compute Constant Rates of Piecewise Exponential Distribution
solveThreeStateModel(): Solve Parameters in a Three-State Illness-death Model
weibullDropout(): Calculate Parameters of Weibull Distribution as a Dropout Method

summarizeDataFrame(): Summarize A Data Frame
summarizeMilestoneTime(): Summary of Milestone Time from Simulated Trials
plot(<milestone_time_summary>): Plot Triggering Time of Milestones in Simulated Trials
plot(<three_state_model>): Plot result of three-state illness-death model
expandRegimen(): Expand regimen trajectory into long format

Underlying classes; most users interact through the wrappers above.