Package: basket 0.12.2

basket: Basket Trial Analysis

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>.

Authors:Nan Chen [aut], Ryan Hafen [ctb], Brian Hobbs [aut], Alex Kaizer [aut], Wei Wei [aut], Michael J. Kane [aut, cre]

basket_0.12.2.tar.gz
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basket.pdf |basket.html
basket/json (API)
NEWS

# Install 'basket' in R:
install.packages('basket', repos = c('https://kaneplusplus.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/kaneplusplus/basket/issues

Datasets:
  • vemu - Summary Data from the Vemurafenib Study
  • vemu_wide - Summary Data from the Vemurafenib Study

On CRAN:

18 exports 4 stars 1.34 score 68 dependencies 40 scripts 378 downloads

Last updated 1 years agofrom:a665c37a79. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winNOTESep 09 2024
R-4.4-macNOTESep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:basketbasket_mapbasket_namebasket_pepcluster_basketscluster_mapcluster_membershipcluster_pepget_seedmem_exactmem_mcmcplot_densityplot_mapplot_memplot_pepplot_pep_graphsample_posteriorupdate_p0

Dependencies:cachemclicodetoolscolorspacecpp11crayondoParalleldplyrfansifarverfastmapforeachgenericsGenSAggforceggplot2ggraphggrepelgluegmpgraphlayoutsgridExtragtableigraphisobanditeratorsitertoolslabelinglatticelifecyclemagrittrMASSmathjaxrMatrixmemoisemgcvmunsellnlmepartitionspillarpkgconfigpolyclippolynompsclpurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrlangscalessetsstringistringrsystemfontstibbletidygraphtidyrtidyselecttweenrutf8vctrsviridisviridisLitewithr

Using the basket Package

Rendered fromusing-the-basket-package.Rmdusingknitr::rmarkdownon Sep 09 2024.

Last update: 2020-03-10
Started: 2019-02-08