- Referenced in 706 articles
- 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...
- Referenced in 419 articles
- nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural...
- Referenced in 854 articles
- 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...
- Referenced in 299 articles
- 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...
- Referenced in 215 articles
- package lme4: Linear mixed-effects models using S4 classes , Fit linear and generalized linear mixed...
- Referenced in 194 articles
- MEMSS: Data sets from Mixed-effects Models in S .Data sets and sample analyses from ... Pinheiro and Bates, ”Mixed-effects Models in S and S-PLUS” (Springer...
- Referenced in 128 articles
- package nlme: Linear and Nonlinear Mixed Effects Models , Fit and compare Gaussian linear and nonlinear ... mixed-effects models...
- Referenced in 73 articles
- 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...
- Referenced in 129 articles
- linear models, Gaussian models, and models for mixed discrete and continuous variables. Further chapters cover...
- Referenced in 65 articles
- 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...
- Referenced in 60 articles
- Data sets from ”SAS System for Mixed Models”. Data sets and sample lmer analyses corresponding ... Wolfinger (1996), ”SAS System for Mixed Models”, SAS Institute...
- Referenced in 85 articles
- MINLPLib -- a collection of test models for mixed-integer nonlinear programming. The paper describes ... computerized collection of test models for mixed-integer nonlinear programming. Because there is no standard...
- Referenced in 67 articles
- 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...
- Referenced in 61 articles
- estimates GLLAMMs (Generalized Linear Latent And Mixed Models) by maximum likelihood (see help gllamm after...
- Referenced in 55 articles
- decomposition-based variability are constructed. Standard mixed model representations of functional expansions are used...
- Referenced in 757 articles
- 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...
- Referenced in 127 articles
- feasible solution of a given mixed-integer programming (MIP) model is a very important 𝒩𝒫...
- Referenced in 31 articles
- effect) nonparametric model, (b) using the mixed-model framework with the spline coefficients as random ... frequentist perspective. We show that the mixed-model formulation of penalized splines can help obtain...
- Referenced in 30 articles
- package MCMCglmm: MCMC Generalised Linear Mixed Models. MCMC Generalised Linear Mixed Models...
- Referenced in 28 articles
- models are known as generalized linear mixed models (GLMM). GLMMs, like linear mixed models, assume...