c_early: Optimal Stopping Boundaries
In MatheMax/OptReSample: Computing Optimal Adaptive Designs

Description Usage Arguments Details Value

c_early gives the optimal boundaries for early stopping of an adaptive design

1	c_early(parameters, n1, lambda1, lambda2)

`parameters`	The parameters (alpha, power, etc.) you want to use for your design
`n1`	The first-stage sample size
`lambda1`	The penalization parameter for type one error
`lambda2`	The penalization parameter for type two error

The parameter n1 has to be given as well as the penalty parameters lambda_1 and lambda_2. The boundaries are computed as roots of the gradient of the score w.r.t. c_f and c_e.

A two dimensional vector (c_f, c_e)

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