Implements the mode selection logic for tulpa. Accepts either tier names (auto, exact, structured, optimized) or backend names (hmc, ess, pg, laplace, vi).
When mode is "auto", selects between Tier 1 (Exact) and Tier 2 (Structured) based on model characteristics. Never selects Tier 3 (Optimized) automatically.
Usage
select_inference_mode(
mode,
family,
n_obs,
has_spatial = FALSE,
has_temporal = FALSE,
has_latent = FALSE,
spatial_type = NULL,
temporal = NULL,
has_re = FALSE
)Arguments
- mode
User-specified mode or backend name
- family
Model family object
- n_obs
Number of observations
- has_spatial
Whether model has spatial effects
- has_temporal
Whether model has temporal effects
- has_latent
Whether model has latent factors
- has_re
Whether the model has any random-effect term (
(1 | g)or(1 + x | g)), scalar or slope alike