{"package":"SANple","ecosystem":"cran","exists":true,"latest_version":"0.2.0","repository":"https://github.com/laura-dangelo/SANple","license":"MIT + file LICENSE","description":"Fitting Shared Atoms Nested Models via Markov Chains Monte Carlo. Estimate Bayesian nested mixture models via Markov Chain Monte Carlo methods. Specifically, the package implements the common atoms model (Denti et al., 2023), and hybrid finite-infinite models. All models use Gaussian mixtures with a normal-inverse-gamma prior distribution on the parameters. Additi","downloads_weekly":4355,"deprecated":false,"health":{"score":43},"_cache":"db_only_bot","_partial":true,"_response_ms":0,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}