A reference imugap_fit object produced by running sampling() on the bundled
locations_sim, populations_sim, and observations_sim datasets. Intended
as a lightweight fixture for examples, tests, and downstream tooling that
needs a real fit without paying the cost of recompiling or re-running the
Stan model.
Format
An object of class imugap_fit as returned by sampling().
Details
Generated with the same minimal sampler settings as the smoke test:
iter = 100chains = 1seed = 1Lrefresh = 0
These settings are not enough for convergence; fit_sim is a wiring
fixture, not a scientifically meaningful posterior. It is not tracked in
git: it is regenerated on build by data-raw/fit_data.R (run just data-fit
locally, or just data for the full pipeline).
Note that underlying backend fit objects bundle references to the compiled Stan model
and can be sensitive to major version changes in rstan and
StanHeaders. If a future install fails to load fit_sim, regenerate it
via data-raw/fit_data.R.
