A collection of clinical trial designs and methods, implemented in
'rstan' and R, including: the Continual Reassessment Method by O'Quigley et
al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004)
<doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of
Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the
Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and
more. We provide functions to aid model-fitting and analysis.
The 'rstan' implementations may also serve as a cookbook to anyone looking
to extend or embellish these models. We hope that this package encourages
the use of Bayesian methods in clinical trials. There is a preponderance of
early phase trial designs because this is where Bayesian methods are used
most. If there is a method you would like implemented, please get in touch.
Version: |
0.1.5 |
Depends: |
R (≥ 3.5.0), methods, Rcpp (≥ 1.0.1) |
Imports: |
rstan (≥ 2.18.2), rstantools (≥ 1.5.1), rlang (≥ 0.4.5), dplyr, purrr, magrittr, stringr, ggplot2, gtools, coda, tidybayes (≥ 2.0.3), tibble (≥ 3.0.0), binom, MASS |
LinkingTo: |
StanHeaders (≥ 2.18.1), rstan (≥ 2.18.2), BH (≥
1.69.0-1), Rcpp (≥ 1.0.1), RcppEigen (≥ 0.3.3.5.0) |
Suggests: |
testthat, knitr, rmarkdown, tidyr, ggridges, DiagrammeR |
Published: |
2020-10-15 |
Author: |
Kristian Brock
[aut, cre],
Trustees of Columbia University [cph] |
Maintainer: |
Kristian Brock <kristian.brock at gmail.com> |
BugReports: |
https://github.com/brockk/trialr/issues |
License: |
GPL (≥ 3) |
URL: |
https://github.com/brockk/trialr |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make |
Materials: |
README NEWS |
CRAN checks: |
trialr results |