There are 1 repository under mixed-effects topic.
A Julia package for fitting (statistical) mixed-effects models
Generic curve fitting package with nonlinear mixed effects model
Tools for multiple imputation in multilevel modeling
R package providing utilities for INLA
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Linear Models With R and Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models - by J Faraway
RCall support for MixedModels.jl and lme4
scikit-learn wrapper for generalized linear mixed model methods in R
Approximate Bayesian inference for mixed effects models with heterogeneity
Curated list of the sources about multilevel models
Featured Nonlinear Mixed effects Models
R Package for fitting latent multivariate mixed effects location scale models.
Multivariate Time series interpolation using hierarchical mixed effects models.
Bayesian network analysis in R
Elevational variation in tropical trees analysis
Code to accompany paper: Monitoring cerebral oxygenation of preterm infants using a neonatal specific sensor
R package for Bayesian measurement invariance assessment using mixed effects and shrinkage.
PSM - Population Stochastic Modelling
PBO BSM Earthquake database from Barbour and Crowell (2017): "Dynamic Strains for Earthquake Source Characterization"
R wrapper to python module limmbo for covariance matrix estimation in multivariate linear mixed models in genetics studies
Evolution of quantitative EEG over the first few days of life for preterm (<32 weeks GA) infants