alphaspend: Function that calculates the upper boundaries for efficacy

Description Usage Arguments Value Examples

View source: R/sequential_design_classV2.2.R

Description

Calculates the upper boundaries for efficacy at each look time

Usage

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alphaspend(levels, t, int = rep(500, length(t)), tol = 0.005)

Arguments

levels

The cumulative alpha spending at each look time

t

Normalized look times

int

The number of intervals the solution space is partitioned into

tol

Tolerance of the solution using uniroot

Value

numeric

Examples

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f<- function(t) 0.025*t^4
t<-c(0.33,0.67,1)
cum_probs<-f(t)
alphaspend(levels=cum_probs,t,int=rep(500, length(t)),tol=0.005)

seqmon documentation built on Nov. 9, 2018, 5:05 p.m.