https://matteoamestoy.r-universe.devRecent package updates in matteoamestoyR-universehttps://github.com/matteoamestoy.pnghttps://matteoamestoy.r-universe.devTue, 03 Feb 2026 10:58:21 GMTm.amestoy@amsterdamumc.nl (Matteo Amestoy)Implements a Bayesian profile regression using a generalized linear mixed model as output model. The package allows for binary (probit mixed model) and continuous (linear mixed model) outcomes and both continuous and categorical clustering variables. The package utilizes 'RcppArmadillo' and 'RcppDist' for high-performance statistical computing in C++. For more details see Amestoy & al. (2025) <doi:10.48550/arXiv.2510.08304>.https://github.com/r-universe/matteoamestoy/actions/runs/28697368755Tue, 03 Feb 2026 10:58:21 GMTProfileGLMM1.1.0successhttps://matteoamestoy.r-universe.devhttps://github.com/matteoamestoy/profileglmm-packageIntro_to_ProfileGLMM.RmdIntro_to_ProfileGLMM.htmlIntroduction to ProfileGLMM2026-01-28 14:14:102026-02-02 15:56:22