Package index • TrialSimulator

All functions

Arms: Class of Arm

Controllers: Class of Controller

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

default_action(): default action function for dry run of a trial

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 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

listener(): Define a Listener

milestone(): Define a Milestone of a Trial

rconst(): Generate constant variable

solveMixtureExponentialDistribution(): Solve parameters in a mixture exponential distribution

summarizeDataFrame(): Summarize A Data Frame

trial(): Define a Trial

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