• Tabu search

  • Referenced in 1079 articles [sw08556]
  • rudimentary prototype implementation to encompass additional model elements, such as new types of constraints...
  • gamair

  • Referenced in 344 articles [sw11132]
  • scripts used in the book ”Generalized Additive Models: An Introduction with R”, Wood ... linear, generalized linear, generalized additive and mixed models. Moreover, the book contains explanations...
  • glmnet

  • Referenced in 647 articles [sw08159]
  • poisson regression and the Cox model. Two recent additions are the multiresponse gaussian...
  • GAMLSS

  • Referenced in 210 articles [sw08145]
  • package gamlss: Generalised Additive Models for Location Scale and Shape. The library for fitting GAMLSS...
  • VGAM

  • Referenced in 110 articles [sw04490]
  • package VGAM: Vector Generalized Linear and Additive Models , Vector generalized linear and additive models...
  • hgam

  • Referenced in 73 articles [sw11201]
  • package hgam: High-dimensional Additive Modelling. We propose a new sparsity-smoothness penalty for high ... dimensional generalized additive models. The combination of sparsity and smoothness is crucial for mathematical theory ... estimator for high dimensional but sparse additive models. Finally, an adaptive version of our sparsity...
  • timereg

  • Referenced in 88 articles [sw08068]
  • Springer Verlag. Plus more recent developments. Additive survival model, semiparametric proportional odds model, fast cumulative ... stage frailty modelling. PLS for the additive risk model. Lasso in ahaz package...
  • BayesX

  • Referenced in 97 articles [sw06772]
  • free software for estimating structured additive regression models (). In addition, functions that allow...
  • DPpackage

  • Referenced in 72 articles [sw10495]
  • models, and regression data using generalized additive models. The package also contains functions to compute...
  • gam

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

  • Referenced in 112 articles [sw16231]
  • from set A using a set of additive value functions which result from an ordinal ... preference model built via ordinal regression is a set of all additive value functions compatible ... with the preference information. Using this model, one can define two relations ... statements cannot berepresented in terms of an additive value function...
  • Code_Saturne

  • Referenced in 49 articles [sw06674]
  • Averaged models to Large-Eddy Simulation models. In addition, a number of specific physical models...
  • BERT

  • Referenced in 119 articles [sw30756]
  • trained BERT model can be fine-tuned with just one additional output layer to create...
  • bootlib

  • Referenced in 461 articles [sw40642]
  • book is covered in eleven chapters in addition to a bibliography and an appendix. Chapter ... with single samples from parametric and nonparametric models. Chapter 3 extends the basic ideas...
  • mboost

  • Referenced in 70 articles [sw07331]
  • package mboost: Model-Based Boosting. Functional gradient descent algorithm (boosting) for optimizing general risk functions ... learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data...
  • DnCNN

  • Referenced in 49 articles [sw39678]
  • models which usually train a specific model for additive white Gaussian noise (AWGN...
  • Mplus

  • Referenced in 347 articles [sw06511]
  • Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that ... combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation ... analyzed according to any of the models included in the program...
  • brms

  • Referenced in 32 articles [sw19099]
  • models all in a multilevel context. Further modeling options include auto-correlation and smoothing terms ... errors, and quite a few more. In addition, all parameters of the response distribution ... that actually reflect their beliefs. In addition, model fit can easily be assessed and compared...
  • MLwiN

  • Referenced in 108 articles [sw04837]
  • statistical software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov ... well as other additional features)[1]. MLwiN represents multilevel models using mathematical notation including Greek...
  • N-way Toolbox

  • Referenced in 30 articles [sw12996]
  • models; Calculating core consistency of PARAFAC models; Using additional diagnostic tools to evaluate the appropriate ... core and models in Tucker models; Plus additional utility functions. In addition ... indafac for PARAFAC, PARALIND for constrained PARAFAC models, jackknifing for PARAFAC...