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1.7.8.1 by Jiaming Yuan, 4 months ago

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https://github.com/dmlc/xgboost

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Report a bug at https://github.com/dmlc/xgboost/issues

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Browse source code at https://github.com/cran/xgboost

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Authors: Tianqi Chen [aut] , Tong He [aut] , Michael Benesty [aut] , Vadim Khotilovich [aut] , Yuan Tang [aut] , Hyunsu Cho [aut] , Kailong Chen [aut] , Rory Mitchell [aut] , Ignacio Cano [aut] , Tianyi Zhou [aut] , Mu Li [aut] , Junyuan Xie [aut] , Min Lin [aut] , Yifeng Geng [aut] , Yutian Li [aut] , Jiaming Yuan [aut, cre] , XGBoost contributors [cph] (base XGBoost implementation)

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Documentation:   PDF Manual  

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Apache License (== 2.0) | file LICENSE license

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Imports Matrix, methods, data.table, jsonlite

Suggests knitr, rmarkdown, ggplot2, DiagrammeR, Ckmeans.1d.dp, vcd, testthat, lintr, igraph, float, crayon, titanic

System requirements: GNU make, C++17

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Imported by BioPred, CRE, CausalGPS, DICEM, DSAM, DSWE, DeepLearningCausal, EFAfactors, EIX, GPCERF, GeneralisedCovarianceMeasure, ImHD, LTFHPlus, MBMethPred, MSclassifR, PoweREST, PriceIndices, ReSurv, SELF, SEMdeep, SHAPforxgboost, TSCI, adapt4pv, alookr, audrex, autoBagging, autostats, causalweight, cpfa, creditmodel, csmpv, dblr, ddml, fastrmodels, glmnetr, iimi, inTrees, irboost, latentFactoR, ldmppr, mikropml, mixgb, modeltime, nfl4th, nflfastR, nsga3, oncrawlR, personalized, predhy, predhy.GUI, predictoR, promor, radiant.model, rminer, roseRF, sentiment.ai, shapviz, simPop, surveyvoi, tidybins, traineR, tsensembler, twang, visaOTR, wactor, weightedGCM, xgb2sql, xrf.

Depended on by twangRDC.

Suggested by BAGofT, Boruta, DALEXtra, FLAME, FeatureHashing, GenericML, MachineShop, MantaID, ParBayesianOptimization, PheCAP, SuperLearner, bigsnpr, biomod2, breakDown, bundle, butcher, coefplot, cornet, cuda.ml, drape, easyalluvial, embed, explore, familiar, fastml, fdm2id, flevr, flowml, forecastML, lime, marginaleffects, mcboost, miesmuschel, mlflow, mllrnrs, mlr, mlr3benchmark, mlr3hyperband, mlr3learners, mlr3shiny, mlr3tuning, mlr3tuningspaces, mlr3viz, mlsurvlrnrs, modelStudio, modeltime.ensemble, nlpred, offsetreg, parsnip, pdp, pmml, polle, qeML, r2pmml, rBayesianOptimization, rattle, sense, shapr, sits, stackgbm, superMICE, superml, survex, targeted, tidypredict, tidysdm, treeshap, tune, twangMediation, utiml, vetiver, vimp, vivid.

Enhanced by fastshap, vip.

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See at CRAN