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  • gamair
  • Referenced in 344 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 108 articles [sw04490]
  • VGAM: Vector Generalized Linear and Additive Models , Vector generalized linear and additive models, and associated...

  • hgam
  • Referenced in 73 articles [sw11201]
  • sparsity-smoothness penalty for high-dimensional generalized additive models. The combination of sparsity and smoothness...

  • DPpackage
  • Referenced in 70 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 560 articles [sw08159]
  • glmnet: Lasso and elastic-net 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: Model-Based Boosting. Functional gradient descent algorithm (boosting) for optimizing general risk functions ... base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional 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) Zero-Inflated Generalized Additive Models. R package: COZIGAM Fit a Zero-Inflated 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 (Reduced-Rank...

  • 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 Shepard-Arabie 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...

  • scam
  • Referenced in 7 articles [sw15787]
  • package scam. Routines for generalized additive modelling under shape constraints on the component functions...