score_direct: Compute the score

In MatheMax/OptReSample: Computing Optimal Adaptive Designs

Description

score_direct computes the objective score approximately if the c_2-function and the n_2-function are approximated via a set of splines.

Usage

score_direct(parameters, cf, ce, nodes, c2, n1, n2)

Arguments

parameters	Parameters (alpha, power, standardized effect) whith which you want to build your design
cf	Boundary for stopping for futility after the first stage
ce	Boundary for stopping for efficacy after the first stage
nodes	Nodes for the stage two functions
c2	c_2-values that correspond to nodes
n1	First stage sample size
n2	n_2-values that correspond to nodes

Details

Note that nodes, c2 and n2 have to be of the same length. The score is given as the expected sample size of the design under the alternative hypothesis. The integrals are approximated via the trapezial rule.

MatheMax/OptReSample documentation built on May 5, 2019, 8:14 a.m.