Superseded suggest s_tau given a uniform prior on tau.

For the uniform prior on tau, suggest a value of the s_tau hyperparameter to achieve a given amount of borrowing in the hierarchical model. Only use if a diffuse prior on tau is not feasible.

Usage

hb_s_tau(precision_ratio = 0.5, sigma = 1, n = 100)

Arguments

precision_ratio

Positive numeric vector of elements between 0 and 1 with target precision ratios.

sigma

Positive numeric vector of residual standard deviations.

n

Number of non-missing patients.

Value

Numeric of length equal to length(precision_ratio) and length(sigma), suggested values of s_tau for each element of precision_ratio and sigma.

Details

See the hierarchical model section of the methods vignette for details.

Examples

hb_s_tau(precision_ratio = 0.5, sigma = 1, n = 100)
#> [1] 0.2