Inspect inference methods available for this fit — inference

inference_options() is the audit verb for fixed-effect inference. It does not run any test; it predicts, from the fit's metadata, which inference methods will succeed on this fit and at what approximate cost. The goal is to remove trial-and-error: a user reading the table can see which routes are immediately available, which will refuse and why, and which require a bootstrap.

Usage

inference_options(fit, term = NULL, nsim = 1000L, ...)

# S3 method for class 'mm_lmm'
inference_options(fit, term = NULL, nsim = 1000L, ...)

Arguments

fit: A fitted mm_lmm.
term: Optional fixed-effect term name. Reserved for future per-term refinement; currently unused (the table is fit-level).
nsim: Bootstrap replicate count to use when estimating cost. Used only to format the approx_cost column.
...: Reserved for future methods.

Value

An mm_inference_options object with a table data frame of one row per candidate method.

Details

Like random_options(), this function does not rank or recommend. There is no "best method" row.