Package: bkmrhat 1.1.7
bkmrhat: Parallel Chain Tools for Bayesian Kernel Machine Regression
Bayesian kernel machine regression (from the 'bkmr' package) is a Bayesian semi-parametric generalized linear model approach under identity and probit links. There are a number of functions in this package that extend Bayesian kernel machine regression fits to allow multiple-chain inference and diagnostics, which leverage functions from the 'future', 'rstan', and 'coda' packages. Reference: Bobb, J. F., Henn, B. C., Valeri, L., & Coull, B. A. (2018). Statistical software for analyzing the health effects of multiple concurrent exposures via Bayesian kernel machine regression. ; <doi:10.1186/s12940-018-0413-y>.
Authors:
bkmrhat_1.1.7.tar.gz
bkmrhat_1.1.7.zip(r-4.7)bkmrhat_1.1.7.zip(r-4.6)bkmrhat_1.1.7.zip(r-4.5)
bkmrhat_1.1.7.tgz(r-4.6-any)bkmrhat_1.1.7.tgz(r-4.5-any)
bkmrhat_1.1.7.tar.gz(r-4.7-any)bkmrhat_1.1.7.tar.gz(r-4.6-any)
bkmrhat_1.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bkmrhat/json (API)
NEWS
| # Install 'bkmrhat' in R: |
| install.packages('bkmrhat', repos = c('https://alexpkeil1.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alexpkeil1/bkmrhat/issues
Last updated from:6b5ea188a9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 261 | ||
| source / vignettes | OK | 302 | ||
| linux-release-x86_64 | OK | 269 | ||
| macos-release-arm64 | OK | 199 | ||
| macos-oldrel-arm64 | OK | 257 | ||
| windows-devel | OK | 235 | ||
| windows-release | OK | 172 | ||
| windows-oldrel | OK | 244 | ||
| wasm-release | OK | 142 |
Exports:comb_bkmrfitscomb_bkmrfits_lowmemExtractPIPs_parallelkmbayes_combinekmbayes_combine_lowmemkmbayes_continuekmbayes_diagkmbayes_diagnosekmbayes_parallelkmbayes_parallel_continueOverallRiskSummaries_parallelPredictorResponseBivar_parallelPredictorResponseUnivar_parallelSamplePred_parallelSingVarRiskSummaries_parallel
Dependencies:abindbackportsBHbkmrcallrcheckmateclicodacodetoolscpp11data.tabledescdigestdistributionaldotCall64dplyrfarverfieldsfuturegenericsggplot2globalsgluegmmgridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrmapsMASSMatrixmatrixStatsmvtnormnlmenumDerivparallellypillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanS7sandwichscalesspamStanHeadersstringistringrtensorAtibbletidyrtidyselecttmvtnormtruncnormutf8vctrsviridisLitewithrzoo
