Confidence intervals for a structural choice discounting model — confint.beezdiscounting

Wald (Hessian-based) confidence intervals: estimate +/- z * se on the internal scale, then back-transformed to report_space.

Usage

# S3 method for class 'beezdiscounting_choice'
confint(
  object,
  parm = NULL,
  level = 0.95,
  report_space = c("internal", "natural"),
  ...
)

object: A beezdiscounting_choice object.
parm: Optional character vector for filtering. Accepts display names ("k:(Intercept)", "gamma") or raw optimizer names ("beta_k", "log_gamma", "log_sigma_u", "beta0"). NULL returns all coefficients.
level: Confidence level (default 0.95).
report_space: "internal" (default; all coefficients on their estimation scale) or "natural" (exponentiate the beta_k rows so the intercept is k at the reference level, and exponentiate log_gamma so the row is gamma; log_sigma_u and beta0 stay on their internal scales).
...: Unused.

A tibble with columns term, estimate, conf.low, conf.high, level.