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-4.7-any)bkmr_0.2.2.9000.zip(r-4.6-any)bkmr_0.2.2.9000.zip(r-4.5-any)
bkmr_0.2.2.9000.tgz(r-4.6-any)bkmr_0.2.2.9000.tgz(r-4.5-any)
bkmr_0.2.2.9000.tar.gz(r-4.7-any)bkmr_0.2.2.9000.tar.gz(r-4.6-any)
bkmr_0.2.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bkmr/json (API)

# 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:

7.71 score 66 stars 2 packages 378 scripts 1.1k downloads 2 mentions 17 exports 37 dependencies

Last updated from:45413e338a. Checks:2 NOTE, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE129
source / vignettesOK151
linux-releaseOK111
macos-releaseOK218
macos-oldrelOK187
windows-develNOTE90
windows-releaseOK97
windows-oldrelOK85
wasm-releaseOK87

Exports:ComputePostmeanHnewExtractEstsExtractPIPsExtractSampsInvestigatePriorkmbayesOverallRiskSummariesPlotPriorFitsPredictorResponseBivarPredictorResponseBivarLevelsPredictorResponseBivarPairPredictorResponseUnivarSamplePredSimDataSingVarIntSummariesSingVarRiskSummariesTracePlot

Dependencies:clicpp11dotCall64dplyrfieldsgenericsgluegmmlatticelifecyclemagrittrmapsMASSMatrixmvtnormnlmepillarpkgconfigpurrrR6RColorBrewerRcpprlangsandwichspamstringistringrtibbletidyrtidyselecttmvtnormtruncnormutf8vctrsviridisLitewithrzoo