Specify a Backend-Independent Duration Model — specify_duration

Combines prepared positive-duration data with the approved hierarchical lognormal formula and explicit prior specification.

Usage

specify_duration_model(
  prepared,
  baseline,
  intercept_scale = 1,
  coefficient_scale = 0.5,
  group_sd_scale = 1,
  residual_scale = 1,
  correlation_eta = 2,
  student_df = 3
)

Arguments

prepared: A gp3bayes_duration_prepared.
baseline: Plausible baseline median in the prepared outcome unit.
intercept_scale: Positive normal-intercept prior scale.
coefficient_scale: Positive population-coefficient prior scale.
group_sd_scale: Positive group standard-deviation prior scale.
residual_scale: Positive lognormal residual-scale prior scale.
correlation_eta: LKJ shape for an approved random slope.
student_df: Degrees of freedom for half-Student-t scale priors.

Value

A gp3bayes_duration_model_specification.