ensemble: Generate and summarize an ensemble of simulated dose...

In dcnorris/DTAT: Dose Titration Algorithm Tuning: a framework for dose individualization

Description

Generate and summarize an ensemble of simulated dose titration studies.

Usage

ensemble(K = 10, ...)

Arguments

K	Number of simulated studies to run
...	Parameters to be passed through to de.sim

Value

A data frame summarizing key outcomes of the simulated trials:

enrolling.dose	Enrolling dose at conclusion of study
max.dose	Maximum allowed dose at conclusion of study
effic.33pc	Efficiency of titration over retained doses, relative to perfect 'MTDi' dosing
effic.1sfa	Efficiency of 1-size-fits-all dosing, relative to perfect 'MTDi' dosing

Author(s)

David C. Norris

See Also

de.sim

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (K = 10, ...) 
{
    pb <- txtProgressBar(max = K, style = 3)
    df <- de.sim(...)
    MTDi.ensemble <<- list(MTDi.last)
    de.ensemble <<- list(de.last)
    setTxtProgressBar(pb, 1)
    for (k in 2:K) {
        df <- rbind(df, de.sim(...))
        MTDi.ensemble[[k]] <<- list(MTDi.last)
        de.ensemble[[k]] <<- de.last
        setTxtProgressBar(pb, k)
    }
    df
  }

dcnorris/DTAT documentation built on May 7, 2019, 10:45 p.m.