| Name : R-basket
| |
| Version : 0.10.11
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.15.2
| Date : 2024-06-14 12:12:35
|
| Group : Development/Libraries/Other
| Source RPM : R-basket-0.10.11-lp153.15.2.src.rpm
|
| Size : 1.17 MB
| |
| Packager : (none)
| |
| Summary : Basket Trial Analysis
|
Description :
Implementation of multisource exchangeability models for Bayesian
analyses of prespecified subgroups arising in the context of basket
trial design and monitoring. The R \'basket\' package facilitates
implementation of the binary, symmetric multi-source exchangeability
model (MEM) with posterior inference arising from both exact
computation and Markov chain Monte Carlo sampling. Analysis output
includes full posterior samples as well as posterior probabilities,
highest posterior density (HPD) interval boundaries, effective sample
sizes (ESS), mean and median estimations, posterior exchangeability
probability matrices, and maximum a posteriori MEMs. In addition to
providing \"basketwise\" analyses, the package includes similar
calculations for \"clusterwise\" analyses for which subgroups are
combined into meta-baskets, or clusters, using graphical clustering
algorithms that treat the posterior exchangeability probabilities as
edge weights. In addition plotting tools are provided to visualize
basket and cluster densities as well as their exchangeability.
References include Hyman, D.M., Puzanov, I., Subbiah, V., Faris, J.E.,
Chau, I., Blay, J.Y., Wolf, J., Raje, N.S., Diamond, E.L., Hollebecque,
A. and Gervais, R (2015) < doi:10.1056/NEJMoa1502309> Hobbs, B.P. and
Landin, R. (2018) < doi:10.1002/sim.7893> Hobbs, B.P., Kane, M.J.,
Hong, D.S. and Landin, R. (2018) < doi:10.1093/annonc/mdy457> and
Kaizer, A.M., Koopmeiners, J.S. and Hobbs, B.P. (2017)
< doi:10.1093/biostatistics/kxx031>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
