Package: oncomsm 0.1.5.9000

Kevin Kunzmann

oncomsm: Bayesian Multi-State Models for Early Oncology

Implements methods to fit a parametric Bayesian multi-state model to tumor response data. The model can be used to sample from the predictive distribution to impute missing data and calculate probability of success for custom decision criteria in early clinical trials during an ongoing trial. The inference is implemented using 'stan'.

Authors:Kevin Kunzmann [aut, cre], Karthik Ananthakrishnan [ctb], Boehringer Ingelheim Ltd. [cph, fnd]

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NEWS

Peer review:

Bug tracker:https://github.com/boehringer-ingelheim/oncomsm/issues

On CRAN:

15 exports 8 stars 1.59 score 68 dependencies 13 scripts 294 downloads

Last updated 1 years agofrom:02d816b057. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:check_datacompute_pfscreate_srpmodeldefine_srp_priorimputeparameter_sample_to_tibbleplot_mstateplot_pfsplot_response_probabilityplot_transition_timessample_posteriorsample_predictivesample_priorsimulate_decision_rulevisits_to_mstate

Dependencies:abindbackportsBHcallrcheckmateclicodetoolscolorspacecpp11descdigestdistributionaldplyrfansifarverfurrrfuturegenericsggplot2globalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivparallellypillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppNumericalRcppParallelrlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr