constraints: Create a set of constraints

In DTWilson/BOSSS: Bayesian Optimisation for Simulation-based Sample Size

Create a set of constraints

Description

Create a set of constraints

Usage

constraints(name, out, hyp, nom, delta, binary)

Arguments

name	character vector of constraint names.
out	character vector denoting which simulation output each constraint pertains to.
hyp	character vector denoting which hypothesis each constraint pertains to.
nom	numeric vector of nominal upper limits.
delta	numeric vector of probabilities.
binary	boolean vector denoting if the constraint output is binary or otherwise.

Value

A data.frame defining the constraints.

Examples

constraints(name = c("tII"),
            out = c("s"),
            hyp = c("alt"),
            nom = c(0.1),
            delta = c(0.95),
            binary = c(TRUE))

DTWilson/BOSSS documentation built on April 14, 2025, 8:35 a.m.