
SemiPar
 Referenced in 696 articles
[sw07116]
 based on penalized regression splines and mixed models. Every model in this book ... special case of the linear mixed model or its generalized counterpart. This book is very...

SAS/STAT
 Referenced in 417 articles
[sw18788]
 nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural...

GAMS
 Referenced in 839 articles
[sw04978]
 GAMS) is specifically designed for modeling linear, nonlinear and mixed integer optimization problems. The system ... allows the user to concentrate on the modeling problem by making the setup simple...

gamair
 Referenced in 289 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...

lme4
 Referenced in 202 articles
[sw04515]
 package lme4: Linear mixedeffects models using S4 classes , Fit linear and generalized linear mixed...

MEMSS
 Referenced in 191 articles
[sw11219]
 MEMSS: Data sets from Mixedeffects Models in S .Data sets and sample analyses from ... Pinheiro and Bates, ”Mixedeffects Models in S and SPLUS” (Springer...

nlme
 Referenced in 126 articles
[sw04481]
 package nlme: Linear and Nonlinear Mixed Effects Models , Fit and compare Gaussian linear and nonlinear ... mixedeffects models...

MIXED
 Referenced in 73 articles
[sw06480]
 Approach of linear mixed model in longitudinal data analysis using SAS. Linear mixed models ... data sets. The analysis of linear mixed model methodology for the analysis of repeated measurements ... summarizes the methodology of the linear mixed model approach for the analysis of repeated measurements ... covariance structure. PROC MIXED provides a useful covariance structures or modeling both in time...

MIM
 Referenced in 128 articles
[sw26139]
 linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover...

PROC NLMIXED
 Referenced in 65 articles
[sw11039]
 NLMIXED procedure fits nonlinear mixed models—that is, models in which both fixed and random ... effects enter nonlinearly. These models have a wide variety of applications, two of the most ... programming statements. PROC NLMIXED fits nonlinear mixed models by maximizing an approximation to the likelihood...

SASmixed
 Referenced in 60 articles
[sw24366]
 Data sets from ”SAS System for Mixed Models”. Data sets and sample lmer analyses corresponding ... Wolfinger (1996), ”SAS System for Mixed Models”, SAS Institute...

MINLPLib
 Referenced in 79 articles
[sw06172]
 MINLPLib  a collection of test models for mixedinteger nonlinear programming. The paper describes ... computerized collection of test models for mixedinteger nonlinear programming. Because there is no standard...

DPpackage
 Referenced in 64 articles
[sw10495]
 models in R, DPpackage. Currently, DPpackage includes models for marginal and conditional density estimation, receiver ... clustered data using generalized linear mixed models, and regression data using generalized additive models...

GLLAMM
 Referenced in 57 articles
[sw06517]
 estimates GLLAMMs (Generalized Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after...

refund
 Referenced in 53 articles
[sw07434]
 decompositionbased variability are constructed. Standard mixed model representations of functional expansions are used...

CVX
 Referenced in 713 articles
[sw04594]
 modeling system for constructing and solving disciplined convex programs (DCPs). CVX supports a number ... version 2.0, CVX also solves mixed integer disciplined convex programs (MIDCPs) as well, with...

FEASPUMP
 Referenced in 124 articles
[sw04802]
 feasible solution of a given mixedinteger programming (MIP) model is a very important 𝒩𝒫...

MCMCglmm
 Referenced in 30 articles
[sw08302]
 package MCMCglmm: MCMC Generalised Linear Mixed Models. MCMC Generalised Linear Mixed Models...

ConfBands
 Referenced in 30 articles
[sw12330]
 effect) nonparametric model, (b) using the mixedmodel framework with the spline coefficients as random ... frequentist perspective. We show that the mixedmodel formulation of penalized splines can help obtain...

glimmix
 Referenced in 28 articles
[sw11740]
 models are known as generalized linear mixed models (GLMM). GLMMs, like linear mixed models, assume...