Nothing
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).
Browse package contents
Package details |
|
|---|---|
| Author | Richard Daniel Payne [aut, cre], William Michael Landau [rev], Mitch Thomann [rev], Eli Lilly and Company [cph] |
| Maintainer | Richard Daniel Payne <paynestatistics@gmail.com> |
| License | MIT + file LICENSE |
| Version | 3.2.0 |
| URL | https://rich-payne.github.io/dreamer/ https://github.com/rich-payne/dreamer |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the dreamer package in your browser
Any scripts or data that you put into this service are public.
