{"package":"loo","ecosystem":"cran","exists":true,"latest_version":"2.10.0","repository":"https://CRAN.R-project.org/package=loo","license":"GPL (>= 3)","description":"Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian Models. Efficient approximate leave-one-out cross-validation (LOO) for Bayesian models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman, and Gabry (2017) <doi:10.1007/s11222-016-9696-4>. The approximation uses Pareto smoothed importance sampling (PSIS), a new procedure for regularizing im","downloads_weekly":232223,"deprecated":false,"health":{"score":66},"_cache":"db_only_bot","_partial":true,"_response_ms":0,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}