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DESCRIPTION
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Package: brms.mmrm
Title: Bayesian MMRMs using 'brms'
Version: 1.1.1.9000
Authors@R: c(
person(
given = c("William", "Michael"),
family = "Landau",
role = c("aut", "cre"),
email = "[email protected]",
comment = c(ORCID = "0000-0003-1878-3253")
),
person(
given = "Kevin",
family = "Kunzmann",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0002-1140-7143")
),
person(
given = "Yoni",
family = "Sidi",
role = "aut",
email = "[email protected]"
),
person(
given = "Christian",
family = "Stock",
role = "aut",
email = "[email protected]",
comment = c(ORCID = "0000-0002-3493-3234")
),
person(
family = "Eli Lilly and Company",
role = c("cph", "fnd")
),
person(
"Boehringer Ingelheim Pharma GmbH & Co. KG",
role = c("cph", "fnd")
))
Description: 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>.
License: MIT + file LICENSE
URL: https://openpharma.github.io/brms.mmrm/,
https://github.com/openpharma/brms.mmrm
BugReports: https://github.com/openpharma/brms.mmrm/issues
Depends:
R (>= 4.0.0)
Imports:
brms (>= 2.19.0),
dplyr,
ggplot2,
ggridges,
MASS,
posterior,
purrr,
rlang,
stats,
tibble,
tidyr,
tidyselect,
trialr,
utils,
zoo
Suggests:
BH,
emmeans (>= 1.8.7),
fst,
gt,
gtsummary,
knitr (>= 1.30),
markdown (>= 1.1),
mmrm,
parallel,
Rcpp,
RcppEigen,
RcppParallel,
rmarkdown (>= 2.4),
rstan,
StanHeaders,
testthat (>= 3.0.0)
VignetteBuilder:
knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2