Package: baymedr 0.1.1.9000

baymedr: Computation of Bayes Factors for Common Biomedical Designs

BAYesian inference for MEDical designs in R. Functions for the computation of Bayes factors for common biomedical research designs. Implemented are functions to test the equivalence (equiv_bf), non-inferiority (infer_bf), and superiority (super_bf) of an experimental group compared to a control group on a continuous outcome measure, as well as functions for simulating survival data and calculating a Bayes factor for Cox proportional hazards models. Bayes factors for these tests can be computed based on raw data or summary statistics.

Authors:Maximilian Linde [aut, cre], Don van Ravenzwaaij [aut], Jorge N. Tendeiro [aut], Quentin F. Gronau [ctb]

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NEWS

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

Peer review:

Bug tracker:https://github.com/maxlinde/baymedr/issues

On CRAN:

6 exports 7 stars 1.65 score 81 dependencies 2 mentions 8 scripts 257 downloads

Last updated 2 years agofrom:804030128e. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 16 2024
R-4.5-winNOTESep 16 2024
R-4.5-linuxNOTESep 16 2024
R-4.4-winNOTESep 16 2024
R-4.4-macNOTESep 16 2024
R-4.3-winOKAug 17 2024
R-4.3-macOKAug 17 2024

Exports:coxph_bfcoxph_data_simequiv_bfget_bfinfer_bfsuper_bf

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercodetoolscolorspacedata.tabledigestdoParallelevaluatefansifarverfastmapfontawesomeforeachforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemgcvmimemultcompmunsellmvtnormnlmennetpillarpkgconfigpolsplinepsoquantregR6rappdirsRColorBrewerrlangrmarkdownrmsrpartrstudioapisandwichsassscalesSparseMstringistringrsurvivalTH.datatibbletinytexutf8vctrsviridisviridisLitewithrxfunyamlzoo