
QRM
 Referenced in 691 articles
[sw11358]
 multivariate analysis, time series analysis and generalized linear modelling...

bootlib
 Referenced in 408 articles
[sw40642]
 resampling methods appropriate for linear regression models, generalized linear models and nonlinear models, and time...

SAS/STAT
 Referenced in 423 articles
[sw18788]
 analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural equations...

glmnet
 Referenced in 537 articles
[sw08159]
 glmnet: Lasso and elasticnet regularized generalized linear models. Extremely efficient procedures for fitting...

Fahrmeir
 Referenced in 242 articles
[sw11047]
 book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, first edition, by Ludwig Fahrmeir ... book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, version 1, by Ludwig Fahrmeir...

SemiPar
 Referenced in 714 articles
[sw07116]
 special case of the linear mixed model or its generalized counterpart. This book is very ... regression, though familiarity with matrix and linear algebra is assumed. Another audience that they ... have a good working knowledge of linear models and the desire to begin using more...

GAMS
 Referenced in 864 articles
[sw04978]
 General Algebraic Modeling System (GAMS) is specifically designed for modeling linear, nonlinear and mixed integer...

GLIM
 Referenced in 190 articles
[sw01126]
 system for interactive fitting of generalized linear models...

flexmix
 Referenced in 111 articles
[sw06087]
 FlexMix implements a general framework for finite mixtures of regression models using the EM algorithm ... Existing drivers implement mixtures of standard linear models, generalized linear models and modelbased clustering...

LISPSTAT
 Referenced in 116 articles
[sw01111]
 linear and nonlinear regression models and generalized linear models. Many aspects of the system design...

gamair
 Referenced in 303 articles
[sw11132]
 scripts used in the book ”Generalized Additive Models: An Introduction with R”, Wood ... introduction to linear, generalized linear, generalized additive and mixed models. Moreover, the book contains explanations...

lme4
 Referenced in 228 articles
[sw04515]
 classes , Fit linear and generalized linear mixedeffects models. This is the implementation of lme4...

VGAM
 Referenced in 101 articles
[sw04490]
 Vector Generalized Linear and Additive Models , Vector generalized linear and additive models, and associated models...

rms
 Referenced in 95 articles
[sw04532]
 failure time models, ordinary linear models, the BuckleyJames model, generalized least squares for serially ... spatially correlated observations, generalized linear models, and quantile regression...

Gensys
 Referenced in 88 articles
[sw26837]
 describe methods for solving general linear rational expectations models in continuous or discrete timing with...

DPpackage
 Referenced in 68 articles
[sw10495]
 models in R, DPpackage. Currently, DPpackage includes models for marginal and conditional density estimation, receiver ... longitudinal and clustered data using generalized linear mixed models, and regression data using generalized additive...

PROC GENMOD
 Referenced in 29 articles
[sw11741]
 GENMOD procedure fits generalized linear models, as defined by Nelder and Wedderburn (1972). The class ... generalized linear models is an extension of traditional linear models that allows the mean ... Many widely used statistical models are generalized linear models. These include classical linear models with ... linear models for multinomial data. Many other useful statistical models can be formulated as generalized...

glm
 Referenced in 27 articles
[sw37503]
 Stata command glm  Generalized linear models. glm fits generalized linear models. It can fit models...

ARC
 Referenced in 39 articles
[sw26078]
 goes to logistic regression and generalized linear models. It has discussions of response and predictor...

faraway
 Referenced in 24 articles
[sw04357]
 Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. Linear ... Linear Model with R surveys the techniques that grow from the regression model, presenting three ... framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author ... topics that include GLM diagnostics, generalized linear mixed models, trees, and even...