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dreamer

Dose Response Models for Bayesian Model Averaging

Installation

About

Fits (longitudinal) 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. 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).

github.com/rich-payne/dreamer
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Key Metrics

Version 3.1.0
Published 2022-09-01 574 days ago
Needs compilation? no
License MIT
License File
CRAN checks dreamer results
Language en-US

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Maintainer

Maintainer

Richard Daniel Payne

paynestatistics@gmail.com

Authors

Richard Daniel Payne

aut / cre

William Michael Landau

rev

Mitch Thomann

rev

Eli Lilly
Company

cph

Material

NEWS
Reference manual
Package source

Vignettes

dreamer
dreamer Methods

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dreamer archive

Imports

coda
dplyr ≥ 1.0.0
ellipsis ≥ 0.3
ggplot2
graphics
purrr
rootSolve
rjags ≥ 4-8
rlang ≥ 0.4.5
stats
tidyr ≥ 1.0.2
tidyselect ≥ 1.1

Suggests

testthat ≥ 3.0
fs ≥ 1.5
knitr
rmarkdown
tibble
spelling