Package: UBayFS 1.0

UBayFS: A User-Guided Bayesian Framework for Ensemble Feature Selection (UBayFS)

Implements the user-guided Bayesian framework for ensemble feature selection (UBayFS) : Jenul et al., (2022) <doi:10.1007/s10994-022-06221-9>.

Authors:Anna Jenul [aut, cre], Stefan Schrunner [aut], Kristian Hovde Liland [rev], Oliver Tomic [ctb], Jürgen Pilz [ctb]

UBayFS_1.0.tar.gz
UBayFS_1.0.zip(r-4.7)UBayFS_1.0.zip(r-4.6)UBayFS_1.0.zip(r-4.5)
UBayFS_1.0.tgz(r-4.6-any)UBayFS_1.0.tgz(r-4.5-any)
UBayFS_1.0.tar.gz(r-4.7-any)UBayFS_1.0.tar.gz(r-4.6-any)
UBayFS_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
UBayFS/json (API)

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

Bug tracker:https://github.com/annajenul/ubayfs/issues

Pkgdown/docs site:https://annajenul.github.io

Datasets:
  • bcw - Breast Cancer Wisconsin dataset

On CRAN:

Conda:

bayesian-statisticsensemble-modelsfeature-selectionuser-knowledge

5.18 score 5 stars 15 scripts 237 downloads 15 exports 113 dependencies

Last updated from:bb699ba57c. Checks:1 FAIL, 2 OK, 6 NOTE. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64FAIL538
source / vignettesOK283
linux-release-x86_64NOTE244
macos-release-arm64NOTE271
macos-oldrel-arm64NOTE210
windows-develNOTE161
windows-releaseNOTE151
windows-oldrelNOTE163
wasm-releaseOK216

Exports:admissibilitybuild.UBayconstraintbuild.UBaymodelbuildConstraintsbuildDecorrConstraintsevaluateFSevaluateMultipleis.UBayconstraintis.UBaymodelprintResultsrunInteractivesetConstraintssetOptimsetWeightstrain

Dependencies:ADMMalabamabackportsbase64encbslibcachemcalibratorcheckmateclarabelcliclustercodetoolscommonmarkcpp11crayoncubatureCVXRdbscandigestDirichletRegdisordRdoParallelemulatorevaluatefarverfastclusterfastmapfontawesomeforeachFormulafrabfsGAgenericsggplot2gluegmpgridExtragsignalgtablehighrhighshtmltoolshttpuvhyper2igraphisobanditeratorsjquerylibjsonliteknitrlabdsvlabelinglaterlatticelifecyclemagrittrmaotaiMASSMatrixmatrixStatsmaxLikmclustcompmemoisemgcvmimemiscToolsmRMRemvtnormnlmenumDerivosqpotelpartitionspkgconfigpolynompracmaprettydocpromisesR6RANNrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppDERcppDistRcppEigenRdimtoolsRdpackrlangrmarkdownRSpectraRtsneS7sandwichsassscalesscssetsshinyslamsourcetoolssurvivaltinytexvctrsviridisLitewithrxfunxtableyamlzoo

A quick tour through UBayFS
Introduction | Requirements and dependencies | Background | Ensemble feature selection as likelihood | Expert knowledge as prior | Prior feature weights | Feature set constraints | Application of UBayFS | Ensemble Training | User knowledge | Optimization and evaluation | Shiny dashboard | Conclusion | References
Rendered fromUBayFS.Rmdusingknitr::rmarkdown

Last update: 2023-07-07
Started: 2021-01-30

Block feature selection with UBayFS
Introduction | UBayFS example | Version (a): block list | Version (b): block matrix | Block-wise prior weights | Evaluation of block feature selection results | Conclusion
Rendered fromBFS_UBayFS.Rmdusingknitr::rmarkdown

Last update: 2022-12-14
Started: 2022-07-21