Package: IntegratedLearner 0.99.6
IntegratedLearner: Integrated Multi-Omics Learning for Survival and Other Outcomes
Provides a unified interface for multi-omics prediction using early and late fusion for continuous, binary, multiclass, and survival outcomes. It supports both MultiAssayExperiment and PCL-style inputs, performs input validation and feature/sample harmonization across layers, and provides model fitting, prediction, plotting, and variable-importance utilities.
Authors:
IntegratedLearner_0.99.6.tar.gz
IntegratedLearner_0.99.6.zip(r-4.7-any)IntegratedLearner_0.99.6.zip(r-4.6-any)IntegratedLearner_0.99.6.zip(r-4.5-any)
IntegratedLearner_0.99.6.tgz(r-4.6-any)IntegratedLearner_0.99.6.tgz(r-4.5-any)
IntegratedLearner_0.99.6.tar.gz(r-4.7-any)IntegratedLearner_0.99.6.tar.gz(r-4.6-any)
IntegratedLearner_0.99.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
IntegratedLearner/json (API)
| # Install 'IntegratedLearner' in R: |
| install.packages('IntegratedLearner', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/himelmallick/integratedlearner/issues
softwareclassificationsurvivalmicrobiomebayesianmachine-learningmetabolomicsmetagenomicsmulti-omicsmultiple-covariatesrepeated-measuresopenjdk
Last updated from:09e9af023b. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 213 | ||
| linux-devel | OK | 447 | ||
| source / vignettes | OK | 334 | ||
| linux-release | OK | 387 | ||
| macos-release | OK | 286 | ||
| macos-oldrel | OK | 217 | ||
| windows-devel | OK | 359 | ||
| windows-release | OK | 358 | ||
| windows-oldrel | OK | 398 | ||
| wasm-release | OK | 206 |
Exports:auc_objIL_conbinIL_multiclassIL_survivalILsurvIntegratedLearnerNNLSsl_bartsl_enetsl_glmnet2sl_horseshoesl_lassosl_nnls_auc
Dependencies:abindbackportsBARTbartMachinebartMachineJARsbase64encbayesplotbayesregBiobaseBiocBaseUtilsBiocGenericsbitbit64bitopsbslibcachemcaretcaToolscheckmateclassclicliprclockclustercmprskcodetoolscolorspacecowplotCoxBoostcpp11crayoncvAUCdata.tabledata.treeDelayedArraydiagramDiagrammeRdigestdistributionaldoParalleldoRNGdplyre1071evaluatefarverfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygamgbmgenericsGenomicRangesggdistggplot2ggridgesglmnetglmnetUtilsglobalsgluegowergplotsgridExtragtablegtoolshardhathighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphinumipredIRangesisobanditeratorsitertoolsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalibcoinlifecyclelistenvlubridatemagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmboostmemoisemetsmimemissForestModelMetricsmultcompMultiAssayExperimentmultiviewmvtnormnlmenloptrnnetnnlsnumDerivparallellypartykitpecpgdrawpillarpkgconfigplotrixplyrpolsplineposteriorprettyunitspROCprodlimprogressprogressrproxyPublishpurrrquadprogquantregR6randomForestrandomForestSRCrangerrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrrecipesreshape2riskRegressionrJavarlangrmarkdownrmsrngtoolsROCRrpartrstudioapiS4ArraysS4VectorsS7sandwichsassscalesSeqinfoshapeSparseArraySparseMsparsevctrsSQUAREMstabsstringistringrstrucchangeSummarizedExperimentSuperLearnersurvivaltensorATH.datatibbletidyrtidyselecttimechangetimeDatetimeregtimeROCtinytabletinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunxgboostXVectoryamlzoo
