CRAN/E | brms.mmrm

brms.mmrm

Bayesian MMRMs using 'brms'

Installation

About

The mixed model for repeated measures (MMRM) is a popular model for longitudinal clinical trial data with continuous endpoints, and 'brms' is a powerful and versatile package for fitting Bayesian regression models. The 'brms.mmrm' R package leverages 'brms' to run MMRMs, and it supports a simplified interfaced to reduce difficulty and align with the best practices of the life sciences. References: Bürkner (2017) doi:10.18637/jss.v080.i01, Mallinckrodt (2008) doi:10.1177/009286150804200402.

openpharma.github.io/brms.mmrm/
github.com/openpharma/brms.mmrm
Bug report File report

Key Metrics

Version 0.1.0
R ≥ 4.0.0
Published 2024-02-15 73 days ago
Needs compilation? no
License MIT
License File
CRAN checks brms.mmrm results
Language en-US

Downloads

Yesterday 6 -88%
Last 7 days 149 -15%
Last 30 days 607 -4%
Last 90 days 1.606 +114%
Last 365 days 2.880

Maintainer

Maintainer

William Michael Landau

will.landau.oss@gmail.com

Authors

William Michael Landau

aut / cre

Kevin Kunzmann

aut

Yoni Sidi

aut

Christian Stock

aut

Eli Lilly
Company

cph / fnd

Boehringer Ingelheim Pharma GmbH & Co. KG

cph / fnd

Material

README
NEWS
Reference manual
Package source

Vignettes

BCVA data comparison between Bayesian and frequentist MMRMs
FEV1 data comparison between Bayesian and frequentist MMRMs
Methods
Simulation-based calibration
Simulation
Subgroup analysis
Usage

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

brms.mmrm archive

Depends

R ≥ 4.0.0

Imports

brms ≥ 2.19.0
coda
dplyr
emmeans ≥ 1.8.7
ggplot2
ggridges
MASS
posterior
purrr
rlang
stats
tibble
tidyr
tidyselect
trialr
utils
zoo

Suggests

BH
fst
gt
gtsummary
knitr ≥ 1.30
markdown ≥ 1.1
mmrm
parallel
Rcpp
RcppEigen
RcppParallel
rmarkdown ≥2.4
rstan
StanHeaders
testthat ≥ 3.0.0