| Name : R-bhmbasket
| |
| Version : 0.9.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 3.3
| Date : 2024-08-05 21:24:38
|
| Group : Development/Libraries/Other
| Source RPM : R-bhmbasket-0.9.5-3.3.src.rpm
|
| Size : 0.30 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Hierarchical Models for Basket Trials
|
Description :
Provides functions for the evaluation of basket trial designs with
binary endpoints. Operating characteristics of a basket trial design
are assessed by simulating trial data according to scenarios, analyzing
the data with Bayesian hierarchical models (BHMs), and assessing
decision probabilities on stratum and trial-level based on Go / No-go
decision making. The package is build for high flexibility regarding
decision rules, number of interim analyses, number of strata, and
recruitment. The BHMs proposed by Berry et al. (2013)
< doi:10.1177/1740774513497539> and Neuenschwander et al. (2016)
< doi:10.1002/pst.1730>, as well as a model that combines both
approaches are implemented. Functions are provided to implement
Bayesian decision rules as for example proposed by Fisch et al. (2015)
< doi:10.1177/2168479014533970>. In addition, posterior point estimates
(mean/median) and credible intervals for response rates and some model
parameters can be calculated. For simulated trial data, bias and mean
squared errors of posterior point estimates for response rates can be
provided.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
