Suggest a value of the s_tau hyperparameter
to roughly target a specified minimum amount of borrowing
in the hierarchical model. Only use if a diffuse prior
on tau is not feasible.
hbl_s_tau(precision_ratio = 0.5, sigma = 1, n = 100)Positive numeric vector of elements between 0 and 1 with target precision ratios.
Positive numeric vector of residual standard deviations.
Number of non-missing patients.
Numeric of length equal to length(precision_ratio) and
length(sigma), suggested values of s_tau for each element of
precision_ratio and sigma.
The target minimum amount of borrowing
is expressed in the precision_ratio argument.
The precision ratio is a metric that quantifies the amount of
borrowing in the hierarchical model. See the "Methods" vignette
for details.
Other data:
hbl_data()
hbl_s_tau(precision_ratio = 0.5, sigma = 1, n = 100)
#> [1] 0.2