
lme4
 Referenced in 204 articles
[sw04515]
 Linear mixedeffects models using S4 classes , Fit linear and generalized linear mixedeffects models...

nlme
 Referenced in 127 articles
[sw04481]
 package nlme: Linear and Nonlinear Mixed Effects Models , Fit and compare Gaussian linear and nonlinear...

faraway
 Referenced in 23 articles
[sw04357]
 Extending the linear model with R. Generalized linear, mixed effects and nonparametric regression models. Linear ... Julian J. Faraway’s critically acclaimed Linear Models with R examined regression and analysis ... Linear Model with R surveys the techniques that grow from the regression model, presenting three ... extensions to that framework: generalized linear models (GLMs), mixed effect models, and nonparametric regression models...

multcomp
 Referenced in 30 articles
[sw10485]
 hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models...

metafor
 Referenced in 30 articles
[sw12291]
 outcome measures, fit fixed, random, and mixedeffects models to such data, carry out moderator ... variety of suitable generalized linear (mixedeffects) models (i.e., mixedeffects (conditional) logistic and Poisson...

Lmertest
 Referenced in 8 articles
[sw14397]
 lmerTest: Tests in Linear Mixed Effects Models. Different kinds of tests for linear mixed effects...

Monolix
 Referenced in 12 articles
[sw06988]
 analysis of non linear mixed effects models. The objective of this software is to perform...

IFISS
 Referenced in 236 articles
[sw04398]
 problems. It includes algorithms for discretization by mixed finite element methods and a posteriori error ... discrete linear equation systems that arise in incompressible flow modelling. A unique feature ... interaction between the two and the resulting effect on overall efficiency...

glmmAK
 Referenced in 25 articles
[sw13218]
 Package glmmAK: Generalized Linear Mixed Models. This package implements maximumlikelihood estimation in the logistic ... model) and multinomial response (cumulative logit model), and in the Poisson regression (loglinear model ... logistic and Poisson regression model with random effects whose distribution is specified as a penalized ... Generalized linear mixed model with a penalized Gaussian mixture as a randomeffects distribution. Computational...

PSM
 Referenced in 8 articles
[sw13695]
 Linear MixedEffects modelling using Stochastic Differential Equations. This package provides functions for estimation ... linear and nonlinear mixedeffects models using stochastic differential equations. Moreover it provides functions ... model states and for simulation. The package allows for any multivariate nonlinear timevariant...

glimmix
 Referenced in 28 articles
[sw11740]
 GLMM). GLMMs, like linear mixed models, assume normal (Gaussian) random effects. Conditional on these random...

nlmeU
 Referenced in 4 articles
[sw07431]
 Linear mixedeffects models using R. A stepbystep approach. “Linear mixed effects models ... part of the book, on linear mixed effects models, commences with the description ... specify and fit a linear mixed effects model. Chapter 15 is dedicated to the lmer ... tools for the linear mixed effects models, briefly presented in chapter 20. In addition...

pbkrtest
 Referenced in 6 articles
[sw24087]
 mixed effects models. Attention is on mixed effects models as implemented in the ’lme4’ package ... modification of Ftests for linear mixed effects models and a parametric bootstrap test...

STJM
 Referenced in 7 articles
[sw19776]
 survival data. stjm fits shared parameter joint models for longitudinal and survival data using maximum ... survival outcome are allowed. A linear mixed effects model is used for the longitudinal submodel...

robustlmm
 Referenced in 4 articles
[sw23530]
 Linear MixedEffects Models. As any reallife data, data modeled by linear mixedeffects ... package, robustlmm, to robustly fit linear mixedeffects models. The package’s functions and methods ... package that implements classic linear mixedeffects model estimation in R. The robust estimation method ... show how to fit robust linear mixedeffects models using robustlmm, how to assess...

MMS
 Referenced in 5 articles
[sw31391]
 Package MMS: Fixed Effects Selection in Linear Mixed Models. Perform Fixed effects Selection in Linear...

aod
 Referenced in 5 articles
[sw14700]
 estimating equations (GEE) or generalized linear mixed effect models (GLMM...

tlmec
 Referenced in 11 articles
[sw11119]
 response using the multivariatet distribution. Mixedeffects models are commonly used to fit longitudinal ... normal distributions are commonly assumed for random effects and residual errors, such assumptions make inferences ... likelihoodbased inference for linear and nonlinear mixed effects models with censored response (NLMEC/LMEC) based...

curvclust
 Referenced in 6 articles
[sw07435]
 Waveletbased clustering for mixedeffects functional models in high dimension. We propose a method ... using splines to account for functional random effects. However, splines are not appropriate when dealing ... random effect variance, we ensure that both fixed and random effects lie in the same ... model resumes to a linear mixedeffects model that can be used for a model...

MIXED
 Referenced in 73 articles
[sw06480]
 summarizes the methodology of the linear mixed model approach for the analysis of repeated measurements ... Software. PROC MIXED in SAS provides a very flexible environment in which models ... experimental units can be modeled using random effects and through the specification of a covariance...