Package: bayesDP 1.3.6

bayesDP: Implementation of the Bayesian Discount Prior Approach for Clinical Trials

Functions for data augmentation using the Bayesian discount prior method for single arm and two-arm clinical trials, as described in Haddad et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior methodology was developed in collaboration with the The Medical Device Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.

Authors:Shawn Balcome [aut], Donnie Musgrove [aut], Tarek Haddad [aut], Graeme L. Hickey [cre, aut], Christopher Jackson [ctb]

bayesDP_1.3.6.tar.gz
bayesDP_1.3.6.zip(r-4.5)bayesDP_1.3.6.zip(r-4.4)bayesDP_1.3.6.zip(r-4.3)
bayesDP_1.3.6.tgz(r-4.4-x86_64)bayesDP_1.3.6.tgz(r-4.4-arm64)bayesDP_1.3.6.tgz(r-4.3-x86_64)bayesDP_1.3.6.tgz(r-4.3-arm64)
bayesDP_1.3.6.tar.gz(r-4.5-noble)bayesDP_1.3.6.tar.gz(r-4.4-noble)
bayesDP_1.3.6.tgz(r-4.4-emscripten)bayesDP_1.3.6.tgz(r-4.3-emscripten)
bayesDP.pdf |bayesDP.html✨
bayesDP/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/graemeleehickey/bayesdp/issues

On CRAN:

bayesianbayesian-inferencebayesian-statisticsclinical-trialsmdicposterior-predictiveposterior-probabilityprior-distribution

11 exports 1.41 score 37 dependencies 1 dependents 1 mentions 20 scripts 451 downloads

Last updated 3 years agofrom:44d844d882. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:alpha_discountbdpbinomialbdplmbdplogitbdpnormalbdpsurvivalplotppexpprintprobability_discountsummary

Dependencies:clicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmcmcMCMCpackmgcvmunsellnlmepillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalesSparseMsurvivaltibbleutf8vctrsviridisLitewithr