4.1-9 by Trevor Hastie, a month ago
Browse source code at https://github.com/cran/glmnet
Authors: Jerome Friedman [aut] , Trevor Hastie [aut, cre] , Rob Tibshirani [aut] , Balasubramanian Narasimhan [aut] , Kenneth Tay [aut] , Noah Simon [aut] , Junyang Qian [ctb] , James Yang [aut]
Documentation:
PDF Manual
GPL-2 license
Imports methods, utils, foreach, shape, survival, Rcpp
Depends on Matrix
Suggests knitr, lars, testthat, xfun, rmarkdown
System requirements: C++17
Imported by ARGOS, ARTtransfer, AnchorRegression, ArCo, BNrich, BOSSreg, BSPBSS, BWGS, BeSS, BlockMissingData, BrainCon, CARBayes, CERFIT, CICI, CIpostSelect, CNVreg, CRE, CSCNet, CausalMetaR, CenBAR, ComICS, CompMix, Compositional, CondCopulas, ConformalSmallest, ConnectednessApproach, Coxmos, DDL, DEET, DLL, DMRnet, DMTL, DeepLearningCausal, DevTreatRules, EMJMCMC, ENMeval, ER, EZtune, FADA, FGLMtrunc, FLAME, FLORAL, FastRet, FunctanSNP, GEInfo, GMDH2, GMSimpute, GRSxE, GWLelast, GWRLASSO, GWlasso, HCTR, HDCI, HMC, HTLR, HTRX, ICBioMark, IsingFit, KnockoffHybrid, LEGIT, LKT, LPRelevance, LUCIDus, LassoSIR, MESS, MRFA, MRZero, MSclassifR, MTE, MUGS, MUVR2, MaximinInfer, MendelianRandomization, MetaNLP, MetabolicSurv, MicrobiomeSurv, MissCP, NCutYX, NetGreg, NonProbEst, ODRF, OHPL, OpenSpecy, PCGII, PDN, PFLR, PLStests, PMAPscore, PPLasso, PRISM.forecast, PheCAP, PheVis, PhylogeneticEM, ProxReg, QTL.gCIMapping, QTL.gCIMapping.GUI, Qval, REN, RISCA, RNAseqNet, ROCSI, RPtests, RSDA, RTextTools, RaSEn, RegrCoeffsExplorer, Rforestry, Ricrt, RobMixReg, RobustIV, RobustPrediction, Robyn, SATS, SAVER, SBICgraph, SEMdeep, SEMgraph, SIHR, SILFS, SILM, SIS, SISIR, SLBDD, SMAHP, SMLE, SOIL, SPSP, STOPES, SVEMnet, SelectBoost, SentimentAnalysis, Sieve, SoftBart, SpTe2M, SplitKnockoff, StabilizedRegression, StratifiedMedicine, SuRF.vs, SubgrpID, SurvHiDim, TANDEM, TOSI, TRexSelector, TULIP, TextForecast, TraceAssist, VARcpDetectOnline, VSOLassoBag, WLogit, WpProj, ZVCV, afthd, aglm, alookr, aloom, amp, anoint, argo, arulesCBA, banditsCI, bbknnR, bestglm, bgsmtr, biospear, bolasso, bonsaiforest, c060, categoryEncodings, causalweight, cbl, changepoints, ciccr, clusterMI, cmenet, coca, coda4microbiome, comets, conformalInference.multi, cornet, cossonet, covdepGE, cpfa, cpt, cramR, creditmodel, crossurr, csmpv, customizedTraining, daltoolboxdp, ddml, debiasedTrialEmulation, difR, dipw, dlbayes, dmlalg, dnr, doc2concrete, drcarlate, dtComb, ePCR, easy.glmnet, ecpc, emBayes, enetLTS, eshrink, evalITR, eventstream, expandFunctions, factReg, fairml, fastcpd, fetwfe, finnts, fmerPack, fssemR, fuser, gamlss.foreach, gamreg, gapclosing, gemR, ggmix, glmnetSE, glmnetUtils, glmnetr, glmtrans, gofar, goffda, graphicalExtremes, graphicalVAR, hal9001, hbal, hdcuremodels, hdi, hdm, hdme, hdnom, iBART, idopNetwork, inet, inters, intrinsicFRP, joinet, knockoff, kosel, l1spectral, latentgraph, lilikoi, lime, localModel, logicDT, mase, matrans, maxnet, mcb, mcboost, mdpeer, metafuse, mgm, mice, mikropml, milr, mimi, misspi, mlr3superlearner, modeltime.ensemble, modnets, mombf, mplot, msaenet, mudfold, multid, multiness, multivar, multivarious, multiview, naivereg, natural, nestedcv, netgsa, nnGarrote, nnfor, nonet, nproc, oRaklE, obliqueRSF, ocf, omicwas, oncoPredict, palasso, pathwayTMB, pda, pencal, penppml, pgraph, phd, planningML, plmmr, plsmmLasso, plsmselect, politeness, polywog, pqrBayes, pre, precmed, predhy, predhy.GUI, predictoR, priorityelasticnet, prioritylasso, probe, quanteda.textmodels, rMultiNet, rare, rdomains, regmhmm, regnet, regressoR, regtools, relgam, riskRegression, rminer, robStepSplitReg, roben, roseRF, rrpack, sMTL, sae.projection, scAnnotate, sdafilter, sentometrics, sharp, simode, simputation, sirus, sivs, skipTrack, slimrec, smurf, spareg, sparselink, sparsereg, sparsevb, spinBayes, splitSelect, spm2, sprintr, squant, squeezy, srlars, stabiliser, stacks, starnet, stepPenal, stm, sts, sureLDA, survcompare, survival.svb, survivalSL, svyVarSel, tehtuner, theftdlc, tools4uplift, traineR, transfR, transreg, triplot, tsensembler, tsrobprep, varEst, varycoef, viralmodels, webSDM, wsprv, xLLiM, xrf, xtune.
Depended on by AHM, CBPS, DTRlearn2, GlarmaVarSel, Grace, HIMA, InvariantCausalPrediction, KLexp, MNS, MRFcov, MTPS, MultiGlarmaVarSel, NBtsVarSel, NumericEnsembles, PAS, ProSGPV, SIMMS, TSGSIS, adapt4pv, bapred, btml, cosso, ctmle, elasso, ensr, gamlss.lasso, glmnetcr, glmvsd, ipflasso, islasso, mcen, mmabig, mpath, mvs, personalized, prototest, roccv, selectiveInference, sharpPen, sox, tgml, tmle.
Suggested by BAGofT, BiodiversityR, CompareCausalNetworks, DebiasInfer, DirectEffects, DoubleML, EHR, FRESA.CAD, GWASinlps, GenericML, LSAmitR, MachineShop, MatchIt, PCpluS, PatientLevelPrediction, Patterns, PosiR, STPGA, SplitReg, StatMatch, SuperLearner, TensorTest2D, UBayFS, WeightedROC, adaptMT, aorsf, autostats, bamlss, bbl, bcaboot, biglasso, bigstatsr, broom, caretEnsemble, casebase, cases, catdata, censored, coefplot, condvis2, cpi, cuda.ml, dfr, drape, easyalluvial, eclust, ecostats, familiar, fastml, fdaSP, fdm2id, flevr, flexmix, flowml, forecastML, fscaret, fuseMLR, gamlss.ggplots, gesso, ggfortify, healthyR.ts, heuristica, iml, imputeR, live, medflex, mllrnrs, mlr, mlr3learners, mlr3pipelines, mlr3tuningspaces, mlr3viz, mlsurvlrnrs, modeltime, modeltime.resample, mpae, nlpred, nscancor, offsetreg, oosse, ordinalNet, origami, oscar, pMEM, plotmo, pminternal, pmml, polle, projpred, pulsar, purgeR, qeML, quadrupen, qwraps2, r2pmml, regsem, s2net, sAIC, sense, sgd, sgs, simulator, sparsegl, spatstat.model, sqlscore, stabs, stratamatch, subsemble, superMICE, superml, survex, swag, text, text2vec, tidyAML, tidyfit, tidyhte, timetk, topics, tornado, tramnet, twoStageDesignTMLE, varbvs, vimp, weights, workflows.
Enhanced by prediction, vip.