Confidence Intervals for a Cross-Price Demand Model (Mixed-Effects)

Wraps lme4::confint.merMod(). Defaults to Wald intervals; method = "profile" or method = "boot" use the corresponding lme4 backends and are slower.

Usage

# S3 method for class 'cp_model_lmer'
confint(
  object,
  parm = NULL,
  level = 0.95,
  method = c("Wald", "profile", "boot"),
  ...
)

Arguments

object

A cp_model_lmer object.

parm

Optional character vector of parameter names. NULL returns intervals for all parameters.

level

Confidence level (default 0.95).

method

One of "Wald" (default), "profile", or "boot".

...

Additional arguments passed to lme4::confint.merMod().

Value

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