
gamair
 Referenced in 317 articles
[sw11132]
 scripts used in the book ”Generalized Additive Models: An Introduction with R”, Wood ... comprehensive introduction to linear, generalized linear, generalized additive and mixed models. Moreover, the book contains...

VGAM
 Referenced in 105 articles
[sw04490]
 VGAM: Vector Generalized Linear and Additive Models , Vector generalized linear and additive models, and associated...

hgam
 Referenced in 73 articles
[sw11201]
 sparsitysmoothness penalty for highdimensional generalized additive models. The combination of sparsity and smoothness...

DPpackage
 Referenced in 69 articles
[sw10495]
 mixed models, and regression data using generalized additive models. The package also contains functions ... Dirichlet process prior, and a general purpose Metropolis sampling algorithm. To maximize computational efficiency...

gam
 Referenced in 38 articles
[sw07106]
 package gam: Generalized Additive Models. Functions for fitting and working with generalized additive models ... Chambers and Hastie (eds), 1991), and ”Generalized Additive Models” (Hastie and Tibshirani...

glmnet
 Referenced in 559 articles
[sw08159]
 glmnet: Lasso and elasticnet regularized generalized linear models. Extremely efficient procedures for fitting ... multinomial regression models, poisson regression and the Cox model. Two recent additions are the multiresponse...

mboost
 Referenced in 67 articles
[sw07331]
 package mboost: ModelBased Boosting. Functional gradient descent algorithm (boosting) for optimizing general risk functions ... baselearners for fitting generalized linear, additive and interaction models to potentially highdimensional data...

gamsel
 Referenced in 22 articles
[sw19132]
 package gamsel: Fit Regularization Path for Generalized Additive Models. Using overlap grouped lasso penalties, gamsel...

gamboostLSS
 Referenced in 15 articles
[sw16111]
 GAMLSS’. Boosting models for fitting generalized additive models for location, shape and scale (’GAMLSS...

bootlib
 Referenced in 426 articles
[sw40642]
 book is covered in eleven chapters in addition to a bibliography and an appendix. Chapter ... models. Chapter 3 extends the basic ideas to several samples, semiparametric and smooth models. Significance ... resampling methods appropriate for linear regression models, generalized linear models and nonlinear models, and time...

bamlss
 Referenced in 11 articles
[sw24276]
 Beyond). Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters ... smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework...

spikeSlabGAM
 Referenced in 9 articles
[sw07415]
 additive mixed models. Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive...

COZIGAM
 Referenced in 7 articles
[sw06869]
 Fitting (Unconstrained) ZeroInflated Generalized Additive Models. R package: COZIGAM Fit a ZeroInflated Generalized...

gamlss.dist
 Referenced in 7 articles
[sw21114]
 package gamlss.dist: Distributions for Generalized Additive Models for Location Scale and Shape. The different distributions ... used for the response variables in Generalized Additive Models for Location Scale and Shape...

VGAMdata
 Referenced in 12 articles
[sw18444]
 package and the book ”Vector Generalized Linear and Additive Models: With an Implementation ... used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (ReducedRank...

InterpretML
 Referenced in 8 articles
[sw30904]
 interpretability (ex: linear models, rule lists, generalized additive models), and blackbox explainability techniques for explaining...

cgam
 Referenced in 5 articles
[sw15309]
 package cgam: Constrained Generalized Additive Model. A constrained generalized additive model is fitted ... maximum likelihood estimator for the constrained generalized additive model is found using an iteratively...

Indclus
 Referenced in 23 articles
[sw20757]
 algorithm, INDCLUS, that generalizes the ShepardArabie ADCLUS (ADditive CLUStering) model and the MAPCLUS algorithm ... sources of data. Like MAPCLUS, the INDCLUS generalization utilizes an alternating least squares method combined...

gamm4
 Referenced in 6 articles
[sw13220]
 package gamm4: Generalized additive mixed models using mgcv and lme4. Fit generalized additive mixed models...

GAMBoost
 Referenced in 5 articles
[sw08168]
 package GAMBoost: Generalized linear and additive models by likelihood based boosting. This package provides routines ... fitting generalized linear and and generalized additive models by likelihood based boosting, using penalized...