Package: bkmr 0.2.2.9000
bkmr: Bayesian Kernel Machine Regression
Implementation of a statistical approach for estimating the joint health effects of multiple concurrent exposures, as described in Bobb et al (2015) <doi:10.1093/biostatistics/kxu058>.
Authors:
bkmr_0.2.2.9000.tar.gz
bkmr_0.2.2.9000.zip(r-4.5)bkmr_0.2.2.9000.zip(r-4.4)bkmr_0.2.2.9000.zip(r-4.3)
bkmr_0.2.2.9000.tgz(r-4.5-any)bkmr_0.2.2.9000.tgz(r-4.4-any)bkmr_0.2.2.9000.tgz(r-4.3-any)
bkmr_0.2.2.9000.tar.gz(r-4.5-noble)bkmr_0.2.2.9000.tar.gz(r-4.4-noble)
bkmr_0.2.2.9000.tgz(r-4.4-emscripten)bkmr_0.2.2.9000.tgz(r-4.3-emscripten)
bkmr.pdf |bkmr.html✨
bkmr/json (API)
NEWS
# Install 'bkmr' in R: |
install.packages('bkmr', repos = c('https://jenfb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jenfb/bkmr/issues
Last updated 4 months agofrom:45413e338a. Checks:9 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 15 2025 |
R-4.5-win | OK | Mar 15 2025 |
R-4.5-mac | OK | Mar 15 2025 |
R-4.5-linux | OK | Mar 15 2025 |
R-4.4-win | OK | Mar 15 2025 |
R-4.4-mac | OK | Mar 15 2025 |
R-4.4-linux | OK | Mar 15 2025 |
R-4.3-win | OK | Mar 15 2025 |
R-4.3-mac | OK | Mar 15 2025 |
Exports:ComputePostmeanHnewExtractEstsExtractPIPsExtractSampsInvestigatePriorkmbayesOverallRiskSummariesPlotPriorFitsPredictorResponseBivarPredictorResponseBivarLevelsPredictorResponseBivarPairPredictorResponseUnivarSamplePredSimDataSingVarIntSummariesSingVarRiskSummariesTracePlot
Dependencies:clicpp11dotCall64dplyrfansifieldsgenericsgluegmmlatticelifecyclemagrittrmapsMASSMatrixmvtnormnlmepillarpkgconfigpurrrR6Rcpprlangsandwichspamstringistringrtibbletidyrtidyselecttmvtnormtruncnormutf8vctrsviridisLitewithrzoo