Package index • TrialSimulator

All functions

Arms: Class of Arm

Controllers: Class of Controller

CorrelatedPfsAndOs3(): Generate Correlated PFS and OS

CorrelatedPfsAndOs4(): Generate Correlated PFS, OS and Objective Response

DynamicRNGFunction(): A wrapper of random number generator.

Endpoints: Class of Endpoint

GraphicalTesting: Class of GraphicalTesting

GroupSequentialTest: Class of GroupSequentialTest

Listeners: Class of Listener

Milestones: Class of Milestones

PiecewiseConstantExponentialRNG(): Generate Time-to-Event Endpoint from Piecewise Constant Exponential Distribution

StaggeredRecruiter(): Generate Enrollment Time from Piecewise Constant Uniform Distribution

Trials: Class of Trial

arm(): Define an Arm

calendarTime(): Triggering Condition by Calendar Time

controller(): Define a Controller

doNothing(): An Action Function that Does Nothing

endpoint(): Define Endpoints

enrollment(): Triggering Condition by Number of Randomized Patients

eventNumber(): Triggering Condition by Number of Events or Non-missing 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

listener(): Define a Listener

milestone(): Define a Milestone

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

summarizeDataFrame(): Summarize A Data Frame

summarizeMilestoneTime(): Summary of Milestone Time from Simulated Trials

trial(): Define a Trial

weibullDropout(): Calculate Parameters of Weibull Distribution as a Dropout Method