robmixglm
Robust Generalized Linear Models (GLM) using Mixtures
Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2-5 |
rolling linux/jammy R-4.5 | robmixglm_1.2-5.tar.gz |
413.5 KiB |
1.2-5 |
rolling linux/noble R-4.5 | robmixglm_1.2-5.tar.gz |
414.8 KiB |
1.2-5 |
rolling source/ R- | robmixglm_1.2-5.tar.gz |
212.8 KiB |
1.2-5 |
latest linux/jammy R-4.5 | robmixglm_1.2-5.tar.gz |
413.5 KiB |
1.2-5 |
latest linux/noble R-4.5 | robmixglm_1.2-5.tar.gz |
414.8 KiB |
1.2-5 |
latest source/ R- | robmixglm_1.2-5.tar.gz |
212.8 KiB |
1.2-5 |
2026-04-26 source/ R- | robmixglm_1.2-5.tar.gz |
212.8 KiB |
1.2-5 |
2026-04-23 source/ R- | robmixglm_1.2-5.tar.gz |
212.8 KiB |
1.2-5 |
2026-04-09 windows/windows R-4.5 | robmixglm_1.2-5.zip |
738.1 KiB |
1.2-4 |
2025-04-20 source/ R- | robmixglm_1.2-4.tar.gz |
212.8 KiB |