setPriorParametersExNexAdj {bhmbasket}

setPriorParametersExNexAdj

Description

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

Usage

setPriorParametersExNexAdj(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 ExNex Adjusted, which combines the approach proposed by Neuenschwander et al. (2016) and the approach proposed by Berry et al. (2013).

Value

A list with prior parameters of class prior_parameters_list

Author(s)

Stephan Wojciekowski

See Also

performAnalyses getPriorParameters combinePriorParameters setPriorParametersBerry setPriorParametersExNex setPriorParametersPooled setPriorParametersStratified getMuVar

Examples

 prior_parameters_exnex_adj <- setPriorParametersExNexAdj(0, 1, 2, c(4, 5), c(6, 7), 0.8)