lcra
Bayesian Joint Latent Class and Regression Models
For fitting Bayesian joint latent class and regression models using Gibbs sampling. See the documentation for the model. The technical details of the model implemented here are described in Elliott, Michael R., Zhao, Zhangchen, Mukherjee, Bhramar, Kanaya, Alka, Needham, Belinda L., "Methods to account for uncertainty in latent class assignments when using latent classes as predictors in regression models, with application to acculturation strategy measures" (2020) In press at Epidemiology <doi:10.1097/EDE.0000000000001139>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.5 |
rolling linux/jammy R-4.5 | lcra_1.1.5.tar.gz |
118.0 KiB |
1.1.5 |
rolling linux/noble R-4.5 | lcra_1.1.5.tar.gz |
117.8 KiB |
1.1.5 |
rolling source/ R- | lcra_1.1.5.tar.gz |
76.6 KiB |
1.1.5 |
latest linux/jammy R-4.5 | lcra_1.1.5.tar.gz |
118.0 KiB |
1.1.5 |
latest linux/noble R-4.5 | lcra_1.1.5.tar.gz |
117.8 KiB |
1.1.5 |
latest source/ R- | lcra_1.1.5.tar.gz |
76.6 KiB |
1.1.5 |
2026-04-26 source/ R- | lcra_1.1.5.tar.gz |
76.6 KiB |
1.1.5 |
2026-04-23 source/ R- | lcra_1.1.5.tar.gz |
76.6 KiB |
1.1.5 |
2026-04-09 windows/windows R-4.5 | lcra_1.1.5.zip |
121.2 KiB |
1.1.5 |
2025-04-20 source/ R- | lcra_1.1.5.tar.gz |
76.6 KiB |