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:Jennifer F. Bobb [aut, cre], Luke Duttweiler [ctb]

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

On CRAN:

Conda:

7.03 score 55 stars 1 packages 182 scripts 1.2k downloads 2 mentions 17 exports 37 dependencies

Last updated 4 months agofrom:45413e338a. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 15 2025
R-4.5-winOKMar 15 2025
R-4.5-macOKMar 15 2025
R-4.5-linuxOKMar 15 2025
R-4.4-winOKMar 15 2025
R-4.4-macOKMar 15 2025
R-4.4-linuxOKMar 15 2025
R-4.3-winOKMar 15 2025
R-4.3-macOKMar 15 2025

Exports:ComputePostmeanHnewExtractEstsExtractPIPsExtractSampsInvestigatePriorkmbayesOverallRiskSummariesPlotPriorFitsPredictorResponseBivarPredictorResponseBivarLevelsPredictorResponseBivarPairPredictorResponseUnivarSamplePredSimDataSingVarIntSummariesSingVarRiskSummariesTracePlot

Dependencies:clicpp11dotCall64dplyrfansifieldsgenericsgluegmmlatticelifecyclemagrittrmapsMASSMatrixmvtnormnlmepillarpkgconfigpurrrR6Rcpprlangsandwichspamstringistringrtibbletidyrtidyselecttmvtnormtruncnormutf8vctrsviridisLitewithrzoo