setPriorParametersExNex: setPriorParametersExNex

In bhmbasket: Bayesian Hierarchical Models for Basket Trials

setPriorParametersExNex

Description

This function sets prior parameters for the analysis method "exnex" for use in performAnalyses.

Usage

setPriorParametersExNex(mu_mean, mu_sd, tau_scale, mu_j, tau_j, w_j)

Arguments

mu_mean	A numeric for the mean of μ
mu_sd	A positive numeric for the standard deviation of μ
tau_scale	A positive numeric for the scale parameter of τ
mu_j	A vector of numerics for the means μ_j
tau_j	A vector of positive numerics for the standard deviations τ_j
w_j	A numeric in (0, 1) for the weight of the Ex component

Details

This function sets the prior parameters for the method proposed by Neuenschwander et al. (2016).

Value

A list with prior parameters of class prior_parameters_list

Author(s)

Stephan Wojciekowski

References

Neuenschwander, Beat, et al. "Robust exchangeability designs for early phase clinical trials with multiple strata." Pharmaceutical statistics 15.2 (2016): 123-134.

See Also

performAnalyses getPriorParameters combinePriorParameters setPriorParametersBerry setPriorParametersExNexAdj setPriorParametersPooled setPriorParametersStratified getMuVar

Examples

 prior_parameters_exnex <- setPriorParametersExNex(0, 1, 2, c(4, 5), c(6, 7), 0.8)

bhmbasket documentation built on March 18, 2022, 7:46 p.m.