ecmle(): main estimator of the log
marginal likelihood via ellipsoidal covering of the
high-posterior-density region.rosenbrock_generate_data(),
rosenbrock_exact_posterior(),
rosenbrock_log_post(),
rosenbrock_log_post_vec(): Rosenbrock
(banana) posterior benchmark functions. The methodology is described in
Naderi et al. (2025) https://doi.org/10.48550/arXiv.2510.20617.pair_plot(): lower-triangular pair
plot for posterior sample matrices.plot_ecmle_2d(),
draw_ellipse_2d(): 2-D visualisation of
fitted ellipsoids and posterior samples.print(),
summary(), and
plot() S3 methods for
"ecmle" objects.
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