setPriorParametersExNex {bhmbasket}

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 \mu

mu_sd

A positive numeric for the standard deviation of \mu

tau_scale

A positive numeric for the scale parameter of \tau

mu_j

A vector of numerics for the means \mu_j

tau_j

A vector of positive numerics for the standard deviations \tau_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)