lme4

There are 2 repositories under lme4 topic.

ejolly / pymer4
All the convenience of lme4 in python
lme4 mixed-models python
Language:Python 193
m-clark / mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
mixed-models r lme4 random-effects multilevel-models hierarchical-linear-models variance-components random-intercepts random-slopes covariance linear-mixed-models generalized-linear-mixed-models crossed-random-effects nested-random-effects nlme glmmtmb brms
Language:R 130
Pakillo / LM-GLM-GLMM-intro
A unified framework for data analysis with GLM/GLMM in R
glmm multilevel-models slide r glm lm lme4 statistics
Language:R 116
jthaman / ciTools
An R Package for Quick Uncertainty Intervals
lme4 modeling r tidyverse
Language:R 106
m-clark / mixedup
An R package for extracting results from mixed models that are easy to use and viable for presentation.
brms glmmtmb lme4 mgcv mixed-models nlme random-coefficients random-effects variance-components
Language:R 67
variani / lme4qtl
Mixed models @lme4 + custom covariances + parameter constraints
lme4 qtl covariance gwas kinship ibd pedigree relatedness family variance-covariance random-effects
Language:R 48
strengejacke / mixed-models-snippets
This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.
glmm lme4 mixed-models r
Language:R 36
m-clark / mixed-models-with-r-workshop-2019
Workshop on using Mixed Models with R
mixed-models r lme4 variance-components random-effects random-coefficients nlme glmmtmb brms
Language:R 25
fcorowe / countdata_modelling
Quick Guide for Modelling Count Data in A Multilevel Framework
glmmtmb lme4 negative-binomial-regression poisson-regression r-stats
Language:HTML 16
MMFAIR
SchmidtPaul / MMFAIR
:chart_with_upwards_trend::seedling: Mixed Models for Agriculture in R
mixed-models lme4 nlme glmmtmb sommer sas lifescience agriculture plant-breeding
Language:HTML 15
m-clark / mixed-models-with-R-workshop
This is the companion slides, data, and RStudio project for a workshop on mixed models.
lme4 mixed-models workshop
14
m-clark / more-mixed-models-2019
Demonstration of alternatives to lme4
lme4 mgcv glmmtmb rstanarm brms mixed-models random-effects python statsmodels
Language:R 13
m-clark / R-models
A quick reference for how to run many models in R.
r machine-learning statistics statistical-models catwalk mixed-models additive-models time-series spatial-analysis sem regularization survival-analysis pca bayesian-models cluster-analysis mixture-model lme4 mgcv brms psych
Language:R 13
m-clark / gammit
Functions for using mgcv for mixed models. 📈
bam gam glmer lme4 lmer mgcv mixed-models random-effects variance-components
Language:R 12
basclab / LME_MixedEffectsERPTutorial
Supplemental scripts and resources from Heise, Mon, and Bowman (2022)
eeg lme4 matlab r
Language:MATLAB 8
stanbiryukov / sklearn-GLMM
scikit-learn wrapper for generalized linear mixed model methods in R
mixed-models bayesian-inference brms python scikit-learn lme4 mixed-effects stan statistics statistical-models time-series bayesian bayesian-statistics
Language:Python 8
lenz99 / lme4cens
Simple Mixed Effect Models and Censoring
lme4 r censored-data mixed-effects-models
Language:HTML 6
idiv-biodiversity / BACI_GLMM
Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration
baci before-after-control-impact environmental-impact glmm lme4 restoration
Language:R 4
natjulian / RClasses
En este repositorio subo los materiales de mis clases de R. He estado modificando/arreglando algunas y publicando otras. Cualquier duda o sugerencia favor escribirme a najulian@mat.uc.cl!
blandaltmanleh broom car datarium dplyr ggplot2 ggpubr lme4 lmtest mdscore plot3d plot3drgl r readr rstatix tidyverse xtable
Language:HTML 3
a-paxton / stats-tools
Bits of code to help clean up and display statistical analyses, largely in R.
apa-format display-statistical-analyses journal-article latex lme4 pander statistics statistics-output stats
Language:R 2
chrismainey / multilevel_example
An example of multilevel models
multilevel-models rstats lme4 funnel-plots
Language:HTML 2
R_MixedEffectTutorial
curlsloth / R_MixedEffectTutorial
Mixed effect modeling with R tutorials
linear-mixed-effects-modelling lme4 r-programming simpsons-paradox
Language:Jupyter Notebook 2
mohammad-miftakhus-sholikin / pelatihan-2020-metal
pelatihan-2020-metal
meta-analysis r nlme lme4 modelling
Language:R 2
oliviergimenez / fit-glmm-with-brms
Fit GLMM with brms
brms glmm jags lme4
Language:HTML 2
pablobernabeu / language-sensorimotor-simulation-PhD-thesis
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at https://doi.org/10.17605/OSF.IO/GT5UF.
psycholinguistics brms lmertest lme4 bayesian-statistics frequentist-statistics statistical-power power-analysis
Language:R 2
jmargrove / ForestFloodingSensitivityAnalysis
Elevational variation in tropical trees analysis
r linear-models lme4 mixed-effects inla spde species-distribution-modelling wood tropical tropical-forest tree-species species-distributions water-inundation elevation topographical-distributions wood-density seedlings dipterocarps
Language:R 1
joseluisesna / Gossip_in_Hungarian_firms
Data and code to Estévez & Takács (2022) 'Brokering or sitting between two chairs? A group perspective on workplace gossip'. Frontiers in Psychology, 13: 815383.
workplace-gossip brokerage organizational-network lme4 informal-group betweenness-centrality louvain-community-detection social-network-analysis multilevel-analysis
Language:R 1
mattelisi / workshop-LMM
material for workshop on linear mixed-effects models in R
lme4 lmm r
Language:HTML 1
wavescholar / appregr
Applied Regression In R
r regression stan lme4 lmer jags
Language:R 1
alyxmcn / multilevel_regression_modelling
I conduct multilevel regression analysis to gain comprehension of how attitudes towards government surveillance can change in the light of freedom-security choice and country difference in existential security level for citizens. I use R programming language and lme4 package to built linear multilevel models with cross-level interaction effects.
lme4 multilevel-models r rstudio
Language:HTML 0
pablobernabeu / plot.fixef.allFit
Visualise the output from allFit(), to look at the parameters for a set of predictors across a set of optimizers (e.g., bobyqa, Nelder-Mead, etc.)
lme4 lmertest mixed-effects-models power-analysis power-curve statistical-power simr
Language:R 0
raquelbaeta / r-masters-analysis
This repository contains R scripts designed for comprehensive regression analysis and data processing related to seizures and various economic and governance indicators. The project utilises both logistic and linear mixed-effects models to analyse the relationship between seizure occurrences and factors such as UN commitment.
lme4 prediction-model stargazer tidyverse visualisations ggeffects
Language:R 0
RezaDastranj / LME-ASDRs
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
fixed-effects forecasting heteroscedasticity life-expectancy life-insurance lme4 mixed-models model-selection modelling mortality qqplot random-effects random-walk reml mortality-forecasting anova bootstrap lmer lmertest
Language:CSS 0
AdammGreen / R-for-Marketing-Research-and-Analytics
This repository contains my work from my "R for Marketing Research and Analytics" course. It covers applying R for data wrangling, exploratory data analysis, visualization, and predictive modeling in marketing.
dplyr ggplot2 lme4 r stargazers tidyverse
mc-scott / masters-workbook
A repo containing the R script I developed for my marine biology masters in 2014
lme4 modelling r
Language:R
pablobernabeu / Language-and-vision-in-conceptual-processing-Multilevel-analysis-and-statistical-power
This incomplete repository is used to facilitate the consultation of individual files in this project. Only files smaller than 100 MB are available here. The complete project is available at http://doi.org/10.17605/OSF.IO/UERYQ.
bayesian-statistics brms frequentist-statistics lexical-decision lme4 mixed-effects-models posterior-distributions psycholinguistics rmarkdown semantic-decision semantic-priming semantic-processing statistical-power vocabulary-size
Language:R

lme4

ejolly / pymer4

m-clark / mixed-models-with-R

Pakillo / LM-GLM-GLMM-intro

jthaman / ciTools

m-clark / mixedup

variani / lme4qtl

strengejacke / mixed-models-snippets

m-clark / mixed-models-with-r-workshop-2019

fcorowe / countdata_modelling

SchmidtPaul / MMFAIR

m-clark / mixed-models-with-R-workshop

m-clark / more-mixed-models-2019

m-clark / R-models

m-clark / gammit

basclab / LME_MixedEffectsERPTutorial

stanbiryukov / sklearn-GLMM

lenz99 / lme4cens

idiv-biodiversity / BACI_GLMM

natjulian / RClasses

a-paxton / stats-tools

chrismainey / multilevel_example

curlsloth / R_MixedEffectTutorial

mohammad-miftakhus-sholikin / pelatihan-2020-metal

oliviergimenez / fit-glmm-with-brms

pablobernabeu / language-sensorimotor-simulation-PhD-thesis

jmargrove / ForestFloodingSensitivityAnalysis

joseluisesna / Gossip_in_Hungarian_firms

mattelisi / workshop-LMM

wavescholar / appregr

alyxmcn / multilevel_regression_modelling

pablobernabeu / plot.fixef.allFit

raquelbaeta / r-masters-analysis

RezaDastranj / LME-ASDRs

AdammGreen / R-for-Marketing-Research-and-Analytics

mc-scott / masters-workbook

pablobernabeu / Language-and-vision-in-conceptual-processing-Multilevel-analysis-and-statistical-power