• lme4

  • Referenced in 240 articles [sw04515]
  • package lme4: Linear mixed-effects models using S4 classes , Fit linear and generalized linear mixed...
  • MEMSS

  • Referenced in 215 articles [sw11219]
  • 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...
  • nlme

  • Referenced in 143 articles [sw04481]
  • compare Gaussian linear and nonlinear mixed-effects models...
  • metafor

  • Referenced in 33 articles [sw12291]
  • outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator ... variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson...
  • BayesLogit

  • Referenced in 46 articles [sw09312]
  • logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models for count data...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • MIXOR: a computer program for mixed-effects ordinal regression analysis. MIXOR provides maximum marginal likelihood ... estimates for mixed-effects ordinal probit, logistic, and complementary log-log regression models. These models ... longitudinal design. For clustered data, the mixed-effects model assumes that data within clusters ... data. Similarly, for longitudinal data, the mixed-effects approach can allow for individual-varying intercepts...
  • lmec

  • Referenced in 20 articles [sw13215]
  • lmec: Linear Mixed-Effects Models with Censored Responses. This package includes a function ... linear mixed-effects model in the formulation described in Laird and Ware (1982) but allowing...
  • MsdeParEst

  • Referenced in 22 articles [sw25419]
  • package MsdeParEst: Parametric Estimation in Mixed-Effects Stochastic Differential Equations. Parametric estimation in stochastic differential...
  • tlmec

  • Referenced in 15 articles [sw11119]
  • Likelihood-based inference for mixed-effects models with censored response using the multivariate-t distribution ... Mixed-effects models are commonly used to fit longitudinal or repeated measures data. A complication...
  • MIXNO

  • Referenced in 9 articles [sw10546]
  • MIXNO: A computer program for mixed-effects nominal logistic regression. MIXNO provides maximum marginal likelihood ... estimates for mixed-effects nominal logistic regression analysis. These models can be used for analysis ... longitudinal design. For such data, the mixed-effects model assumes that data within clusters...
  • PSM

  • Referenced in 9 articles [sw13695]
  • Linear Mixed-Effects modelling using Stochastic Differential Equations. This package provides functions for estimation ... linear and non-linear mixed-effects models using stochastic differential equations. Moreover it provides functions...
  • robustlmm

  • Referenced in 6 articles [sw23530]
  • Package for Robust Estimation of Linear Mixed-Effects Models. As any real-life data, data ... modeled by linear mixed-effects models often contain outliers or other contamination. Even little contamination ... same time, datasets that require mixed-effects modeling are often complex and large. This makes ... package, robustlmm, to robustly fit linear mixed-effects models. The package’s functions and methods...
  • bayesSurv

  • Referenced in 9 articles [sw13221]
  • Effects Distributions. Contains Bayesian implementations of Mixed-Effects Accelerated Failure Time (MEAFT) models for censored...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • Wavelet-based clustering for mixed-effects 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 mixed-effects model that can be used for a model...
  • MIXREG

  • Referenced in 5 articles [sw24547]
  • MIXREG: a computer program for mixed-effects regression analysis with autocorrelated errors. MIXREG ... program that provides estimates for a mixed-effects regression model (MRM) for normally-distributed response ... analysis of clustered data, where the mixed-effects model assumes data within clusters are dependent...
  • pedigreem

  • Referenced in 4 articles [sw13212]
  • pedigreemm: Pedigree-based mixed-effects models. Fit pedigree-based mixed-effects models...
  • phmm

  • Referenced in 6 articles [sw19050]
  • package phmm: Proportional Hazards Mixed-effects Model (PHMM). Fits proportional hazards model incorporating random effects...
  • SuperMix

  • Referenced in 3 articles [sw24419]
  • SuperMix: A Program for Mixed-Effects Regression Models. SuperMix combines the functionality of four mixed ... effects programs, MIXREG, MIXOR, MIXNO, and MIXPREG, developed by Donald Hedeker and Robert Gibbons into ... single application to provide estimates for mixed-effects regression models. Mixed-effects models are also...
  • mlmmm

  • Referenced in 6 articles [sw11268]
  • values. Computational strategies for multivariate linear mixed-effects models with missing values, Schafer and Yucel...
  • Metawin

  • Referenced in 5 articles [sw24643]
  • either a fixed-effects model or mixed-effects model meta-analysis, and allow...