• lme4

  • Referenced in 204 articles [sw04515]
  • package lme4: Linear mixed-effects models using S4 classes , Fit linear and generalized linear mixed ... effects models. This is the implementation of lme4 available on CRAN and developed...
  • meta

  • Referenced in 11 articles [sw17233]
  • linear mixed models (if R packages ’metafor’, ’lme4’, ’numDeriv’, and ’BiasedUrn’ are installed...
  • RLRsim

  • Referenced in 10 articles [sw04585]
  • terms for models fit with nlme::lme(),lme4::lmer(), mgcv::gamm() and SemiPar...
  • glmmML

  • Referenced in 8 articles [sw07509]
  • estimate models of this kind. The package lme4 is a de facto standard for mixed...
  • Lmertest

  • Referenced in 8 articles [sw14397]
  • linear mixed effects models as implemented in ’lme4’ package are provided. The tests comprise types...
  • gamm4

  • Referenced in 5 articles [sw13220]
  • Generalized additive mixed models using mgcv and lme4. Fit generalized additive mixed models ... version of mgcv’s gamm function, using lme4 for estimation...
  • pbkrtest

  • Referenced in 6 articles [sw24087]
  • mixed effects models as implemented in the ’lme4’ package. This package implements a parametric bootstrap...
  • afex

  • Referenced in 4 articles [sw20405]
  • design. mixed() fits mixed models using lme4::lmer() and computes p-values for all fixed...
  • robustlmm

  • Referenced in 4 articles [sw23530]
  • designed to closely equal those offered by lme4, the R package that implements classic linear...
  • influence.ME

  • Referenced in 2 articles [sw16401]
  • analyses models that were estimated using lme4. The basic rationale behind identifying influential data...
  • DHARMa

  • Referenced in 2 articles [sw16594]
  • generalized linear mixed models. Currently supported are ’lme4’, ’glm’ (except quasi-distributions) and ’lm’ model...
  • HLMdiag

  • Referenced in 2 articles [sw24146]
  • using either lmer in the ’lme4’ package or lme in the ’nlme’ package, but only...
  • lme4pureR

  • Referenced in 1 article [sw24144]
  • lme4pureR: lme4 in Pure R. R package. The penalized least squares (PLS) and penalized iteratively ... reweighted least squares (PIRLS) algorithms from lme4, but written entirely in pure R. The purposes...
  • amer

  • Referenced in 1 article [sw32653]
  • package amer: Additive mixed models with lme4. Fitting generalized additive mixed models based ... mixed model algorithm of lme4...
  • odprism

  • Referenced in 1 article [sw11940]
  • performance of mixed models (based on lme4 package) fitted on these datasets is assessed...
  • VCA

  • Referenced in 1 article [sw16077]
  • unbalanced data), once making use of the ’lme4’ package. The primary objective of this package...
  • blme

  • Referenced in 1 article [sw24145]
  • effects models in a Bayesian setting. Extends ’lme4’ by Douglas Bates, Martin Maechler, Ben Bolker...
  • LMMgui

  • Referenced in 1 article [sw36015]
  • linear mixed-models analyses. It uses the lme4 package (Bates...
  • Bambi

  • Referenced in 1 article [sw36562]
  • those found in the popular R packages lme4, nlme, rstanarm and brms. We demonstrate Bambi...