• gamair

  • Referenced in 198 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 65 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 47 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 31 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 239 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 48 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 15 articles [sw19132]
  • package gamsel: Fit Regularization Path for Generalized Additive Models. Using overlap grouped lasso penalties, gamsel...
  • COZIGAM

  • Referenced in 7 articles [sw06869]
  • Fitting (Unconstrained) Zero-Inflated Generalized Additive Models. R package: COZIGAM Fit a Zero-Inflated Generalized...
  • spikeSlabGAM

  • Referenced in 7 articles [sw07415]
  • additive mixed models. Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive...
  • Indclus

  • Referenced in 21 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...
  • 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...
  • gamboostLSS

  • Referenced in 5 articles [sw16111]
  • GAMLSS’. Boosting models for fitting generalized additive models for location, shape and scale (’GAMLSS...
  • cgam

  • Referenced in 3 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...
  • gamm4

  • Referenced in 4 articles [sw13220]
  • package gamm4: Generalized additive mixed models using mgcv and lme4. Fit generalized additive mixed models...
  • VGAMdata

  • Referenced in 4 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...
  • gamlss.dist

  • Referenced in 2 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...
  • CausalGAM

  • Referenced in 2 articles [sw15401]
  • CausalGAM: Estimation of Causal Effects with Generalized Additive Models. This package implements various estimators ... regression estimator—that make use of generalized additive models for the treatment assignment model and/or...
  • scam

  • Referenced in 3 articles [sw15787]
  • package scam. Routines for generalized additive modelling under shape constraints on the component functions...
  • bamlss

  • Referenced in 3 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...