dreamer
Dose Response Models for Bayesian Model Averaging
Fits dose-response models utilizing a Bayesian model averaging approach as outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous and binary responses. Longitudinal dose-response modeling is also supported in a Bayesian model averaging framework as outlined in Payne, Ray, and Thomann (2024) <doi:10.1080/10543406.2023.2292214>. Functions for plotting and calculating various posterior quantities (e.g. posterior mean, quantiles, probability of minimum efficacious dose, etc.) are also implemented. Copyright Eli Lilly and Company (2019).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.2.0 |
rolling linux/jammy R-4.5 | dreamer_3.2.0.tar.gz |
984.3 KiB |
3.2.0 |
rolling linux/noble R-4.5 | dreamer_3.2.0.tar.gz |
979.2 KiB |
3.2.0 |
rolling source/ R- | dreamer_3.2.0.tar.gz |
745.0 KiB |
3.2.0 |
latest linux/jammy R-4.5 | dreamer_3.2.0.tar.gz |
984.3 KiB |
3.2.0 |
latest linux/noble R-4.5 | dreamer_3.2.0.tar.gz |
979.2 KiB |
3.2.0 |
latest source/ R- | dreamer_3.2.0.tar.gz |
745.0 KiB |
3.2.0 |
2026-04-26 source/ R- | dreamer_3.2.0.tar.gz |
745.0 KiB |
3.2.0 |
2026-04-23 source/ R- | dreamer_3.2.0.tar.gz |
745.0 KiB |
3.2.0 |
2026-04-09 windows/windows R-4.5 | dreamer_3.2.0.zip |
994.0 KiB |
3.2.0 |
2025-04-20 source/ R- | dreamer_3.2.0.tar.gz |
745.0 KiB |