Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).
Documentation: Downloads: Reverse dependencies: Reverse depends: CausalGAM, GAMens, LogisticEnsembles, MapGAM, mtsdi, NumericEnsembles, ProDenICA, SuperLearner Reverse imports: Ball, bandit, CausalGPS, DeepLearningCausal, diversityForest, drpop, dtComb, flexOR, glam, ipd, mixcure, MultiKink, netmediate, PAMpal, precmed, RPPanalyzer, sffdr, singR, sufficientForecasting, vaccine, xpose4 Reverse suggests: agridat, BiodiversityR, biomod2, broom, broom.helpers, caret, DeclareDesign, DiceEval, dissever, drtmle, earth, embryogrowth, flowml, fscaret, ggeffects, insight, LinRegInteractive, locfit, marginaleffects, medflex, MitoHEAR, oddsratio, parameters, pathMED, RBF, RSAGA, scar, slp, sm, ssym, subsemble, survML, tmle, vimp, yaImpute Reverse enhances: prediction Linking:Please use the canonical form https://CRAN.R-project.org/package=gam to link to this page.
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