ProfileGLMM
Bayesian Profile Regression using Generalised Linear Mixed Models
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | ProfileGLMM_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
rolling linux/noble R-4.5 | ProfileGLMM_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
rolling source/ R- | ProfileGLMM_1.1.0.tar.gz |
1.1 MiB |
1.1.0 |
latest linux/jammy R-4.5 | ProfileGLMM_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
latest linux/noble R-4.5 | ProfileGLMM_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
latest source/ R- | ProfileGLMM_1.1.0.tar.gz |
1.1 MiB |
1.1.0 |
2026-04-26 source/ R- | ProfileGLMM_1.1.0.tar.gz |
1.1 MiB |
1.1.0 |
2026-04-23 source/ R- | ProfileGLMM_1.1.0.tar.gz |
1.1 MiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | ProfileGLMM_1.1.0.zip |
1.4 MiB |