hypotheses: Create a set of hypotheses

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

Create a set of hypotheses

Description

Create a set of hypotheses

Usage

hypotheses(par_name = NULL, sim = NULL, values, hyp_names)

Arguments

par_name	optional character vector of model parameter names.
sim	optional simulation function.
values	numeric matrix, each column giving the model parameter values under a specific hypothesis.
hyp_names	character vector of hypothesis names.

Value

A data.frame defining the hypotheses.

Examples

hypotheses(values = matrix(c(0.3, 0.05, 0.95), ncol = 1),
           hyp_names = c("alt"),
           par_name = c("mu", "var_u", "var_e"))

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