Combining tree-boosting with Gaussian process and mixed effects models
A Julia package for fitting (statistical) mixed-effects models
Generic curve fitting package with nonlinear mixed effects model
A meta-analysis package for R
Tools for multiple imputation in multilevel modeling
R package providing utilities for INLA
Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
Linear Models With R and Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models - by J Faraway
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
RCall support for MixedModels.jl and lme4
scikit-learn wrapper for generalized linear mixed model methods in R
Curated list of the sources about multilevel models
Approximate Bayesian inference for mixed effects models with heterogeneity
Hierarchical modeling in TensorFlow layers
Code to accompany paper: Monitoring cerebral oxygenation of preterm infants using a neonatal specific sensor
Elevational variation in tropical trees analysis
R Package for fitting latent multivariate mixed effects location scale models.
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