gam: Generalized Additive Models
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).
Version:
1.22-6
Depends:
R (≥ 4.0), stats, splines,
foreach
Imports:
methods
Published:
2025年08月22日
Author:
Trevor Hastie [aut, cre],
Balasubramanian Narasimhan [ctb]
Maintainer:
Trevor Hastie <hastie at stanford.edu>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
Ball,
bandit,
CausalGPS,
diversityForest,
drpop,
dtComb,
glam,
ipd,
mixcure,
MultiKink,
NeEDS4BigData,
netmediate,
PAMpal,
precmed,
RPPanalyzer,
sffdr,
singR,
sufficientForecasting,
vaccine,
xpose4
Reverse suggests:
agridat,
BiodiversityR,
biomod2,
broom,
broom.helpers,
caret,
DeclareDesign,
DeepLearningCausal,
DiceEval,
dissever,
drtmle,
earth,
embryogrowth,
flowml,
ggeffects,
insight,
LinRegInteractive,
locfit,
marginaleffects,
medflex,
MitoHEAR,
oddsratio,
parameters,
pathMED,
RBF,
RSAGA,
scar,
slp,
sm,
ssym,
subsemble,
survML,
tmle,
vimp,
yaImpute
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