projpred - Projection Predictive Feature Selection
Performs projection predictive feature selection for generalized linear models (Piironen, Paasiniemi, and Vehtari, 2020, <doi:10.1214/20-EJS1711>) with or without multilevel or additive terms (Catalina, Bürkner, and Vehtari, 2022, <https://proceedings.mlr.press/v151/catalina22a.html>), for some ordinal and nominal regression models (Weber, Glass, and Vehtari, 2023, <arXiv:2301.01660>), and for many other regression models (using the latent projection by Catalina, Bürkner, and Vehtari, 2021, <arXiv:2109.04702>, which can also be applied to most of the former models). The package is compatible with the 'rstanarm' and 'brms' packages, but other reference models can also be used. See the vignettes and the documentation for more information and examples.
Last updated 2 months ago
bayesbayesianbayesian-inferencerstanarmstanstatisticsvariable-selection
10.22 score 109 stars 227 scripts 2.0k downloads
shinybrms - Graphical User Interface ('shiny' App) for 'brms'
A graphical user interface (GUI) for fitting Bayesian regression models using the package 'brms' which in turn relies on 'Stan' (<https://mc-stan.org/>). The 'shinybrms' GUI is a 'shiny' app.
Last updated 8 months ago
bayesbayesianbayesian-data-analysisbayesian-inferencebayesian-statisticsbrmscmdstanrguimcmcrstanshinyshiny-appstanstatistical-analysisstatistical-inferencestatistical-modelsstatistics
3.70 score 10 stars 3 scripts 291 downloads