Man pages for iAdapt
Two-Stage Adaptive Dose-Finding Clinical Trial Design

beta.abGenerates parameters for the beta distribution # I don't...
dlt.probCalculate DLT probability corresponding to average nTTP for...
eff.stg1Generates efficacy outcomes for stage 1 when using binary...
eff.stg1.nTTPGenerates efficacy outcomes for stage 1 when using nTTP to...
get.threshObtain average nTTP at each dose level
LRtoxCalculates likelihood of safety for single dose
LRtox.nTTPCalculates likelihood of safety for single dose, using nTTP
nTTP.indiv.simSimulate full trial (both stages) x times when using nTTP to...
rand.probCalculates randomization probabilities and dose allocation...
rand.stg2Stage 2 Adaptive Randomization
rand.stg2.nTTPStage 2 Adaptive Randomization with nTTP to monitor toxicity
runExampleLaunch Shiny app
safe.doseIdentify safe/acceptable doses from stage 1 based on observed...
safe.dose.nTTPIdentify safe/acceptable doses from stage 1 based on nTTP...
sim.plotGenerate plots for estimated percent allocation and response...
sim.summaryVisualize simulation results (Stages 1&2)
sim.trialsSimulate full trial (both stages) x times
sim.trials.nTTPSimulate full trial (both stages) x times when using nTTP to...
TOXSample array of toxicity probabilities for 6 doses. Taken...
tox.profileGenerates DLTs and calculates the likelihood-ratio (LR) for...
tox.profile.nTTPGenerate nTTPs toxicity scores and the likelihhood-ratio (LR)...
iAdapt documentation built on Aug. 6, 2021, 9:08 a.m.