Historical borrowing in clinical trials can improve
precision and operating characteristics. This package supports
a longitudinal hierarchical model to borrow historical
control data from other studies to better characterize the
control response of the current study. It also quantifies
the amount of borrowing through longitudinal benchmark models (independent
and pooled). The hierarchical model approach to historical borrowing
is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Version: |
0.1.0 |
Depends: |
R (≥ 4.0.0) |
Imports: |
clustermq, dplyr, ggplot2, MASS, Matrix, methods, posterior, Rcpp, RcppParallel, rlang, rstan (≥ 2.26.0), rstantools, stats, tibble, tidyr, tidyselect, trialr, utils, withr, zoo |
LinkingTo: |
BH, Rcpp, RcppEigen, RcppParallel, rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0) |
Suggests: |
knitr, markdown, rmarkdown, testthat (≥ 3.0.0) |
Published: |
2024-09-25 |
DOI: |
10.32614/CRAN.package.historicalborrowlong |
Author: |
William Michael Landau
[aut, cre],
Albert Man [rev],
Eli Lilly and Company [cph] |
Maintainer: |
William Michael Landau <will.landau.oss at gmail.com> |
BugReports: |
https://github.com/wlandau/historicalborrowlong/issues |
License: |
MIT + file LICENSE |
URL: |
https://wlandau.github.io/historicalborrowlong/,
https://github.com/wlandau/historicalborrowlong |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make |
Language: |
en-US |
Materials: |
README NEWS |
CRAN checks: |
historicalborrowlong results |