mixed-effects

Combining tree-boosting with Gaussian process and mixed effects models

A Julia package for fitting (statistical) mixed-effects models

A meta-analysis package for R

Generic curve fitting package with nonlinear mixed effects model

R package providing utilities for INLA

Tools for multiple imputation in multilevel modeling

CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R

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

RCall support for MixedModels.jl and lme4

Robust linear mixed effects model

scikit-learn wrapper for generalized linear mixed model methods in R

Tools for building and calibrating compartmental models of infectious disease.

Bayesian network analysis in R

Curated list of the sources about multilevel models

Featured Nonlinear Mixed effects Models

Approximate Bayesian inference for mixed effects models with heterogeneity

A Nonlinear Modeling Library (ANML)

R Package for fitting latent multivariate mixed effects location scale models.

Python package customizing nested cross validation for tabular data.