random-effects
There are 28 repositories under random-effects topic.
bashtage/linearmodels
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
gavinsimpson/gratia
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
m-clark/mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
MangiolaLaboratory/sccomp
Testing differences in cell type proportions from single-cell data.
m-clark/generalized-additive-models
A document introducing generalized additive models.📈
m-clark/mixedup
An R package for extracting results from mixed models that are easy to use and viable for presentation.
m-clark/visibly
👓 Functions related to R visualizations
variani/lme4qtl
Mixed models @lme4 + custom covariances + parameter constraints
m-clark/mixed-models-with-r-workshop-2019
Workshop on using Mixed Models with R
m-clark/more-mixed-models-2019
Demonstration of alternatives to lme4
m-clark/gammit
Functions for using mgcv for mixed models. 📈
anhdanggit/panel-fixedeffect-randomeffect
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
oliviergimenez/indhet_in_CRmodels
Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)
andyphilips/qdmean
Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression
eriliawu/magnesium-meta
a meta-analysis on the effect of intravenous magnesium on myocardial infarction
haziqj/iprior
An R package for I-prior regression
m-clark/mixed-models-overview
Raw files for a document providing an overview of mixed models from varying perspectives.
mchamochin1/SDGs-interlinks-with-Climate-Change-Energy-Transition
Connecting the Sustainable Development Goals with climate change and the energy transition
VNyaga/CopulaDTA
Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies
fritzwill/nba-playoff-pred-R
Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models
ksolarski/bachelor-thesis
Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models
monika-kaczan/advanced-econometrics
Project for the 2021/22 Advanced Econometrics class at the Faculty of Economic Sciences, University of Warsaw. In this project we build FE and RE panel data models to assess the relationship between firm performance and CEO gender.
RezaDastranj/LME-ASDRs
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
ssharpe42/pSRAA
Pitch Adjusted Swipe Rate Above Average (pSRAA)
VNyaga/Metapreg
Evidence synthesis of proportions
mauep2025/Multy-Country-Exchange-Rate-
The main aim of this code is to measure the co-movements along 9 different currencies.
oliviergimenez/mixed-bandrecovery-models
Fit band-recovery models with temporal random effects