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Search results for mixed models

49 search results found

Performance ⭐ 918

💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

Mixedmodels.jl ⭐ 390

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

Sjstats ⭐ 174

Statistical Functions for Regression Models

All the convenience of lme4 in python

Miscellaneous R Code ⭐ 140

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

Psycho.r ⭐ 110

An R package for experimental psychologists

Bayesian Stats With R ⭐ 65

Material for a workshop on Bayesian stats with R

Jmbayes2 ⭐ 61

Extended Joint Models for Longitudinal and Survival Data

Glmmadaptive ⭐ 56

GLMMs with adaptive Gaussian quadrature

Formulae ⭐ 47

Formulas for mixed-effects models in Python

👓 Functions related to R visualizations

An R package for extracting results from mixed models that are easy to use and viable for presentation.

Mixed Models Snippets ⭐ 33

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.

Unfold.jl ⭐ 32

Neuroimaging (EEG & fMRI) regression analysis in Julia

Metida.jl ⭐ 24

Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.

A random-forest-based approach for imputing clustered incomplete data

Mixedmodels ⭐ 22

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

Mixed Models With R Workshop 2019 ⭐ 20

Workshop on using Mixed Models with R

Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Chris Hammill, Jim Nikelski and Matthijs van Eede. Some additional information can be found here:

Models By Example ⭐ 19

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Mixedmodelssim.jl ⭐ 17

Simulation tools for Mixed Models

Generalized Additive Models Workshop 2019 ⭐ 16

A workshop on using generalized additive models and the mgcv package.

Gene-level general linear mixed model

Gene-level general linear mixed model

Smlp2021 ⭐ 14

Notebooks for SMLP2021

🎓 Tidy multilevel modeling tools for academics

Asremlplus ⭐ 13

asremlPlus is an R package that augments the use of 'ASReml-R' and 'ASReml4-R' in fitting mixed models

Pseudoreplicationpaper ⭐ 12

Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study

Jellyme4.jl ⭐ 12

RCall support for MixedModels.jl and lme4

More Mixed Models 2019 ⭐ 11

Demonstration of alternatives to lme4

Documents that go into methodological detail regarding various statistical procedures.

multinomial random effects

Functions for using mgcv for mixed models. 📈

Embraceuncertainty ⭐ 10

The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"

A quick reference for how to run many models in R.

Mixedmodelsmakie.jl ⭐ 9

Plotting functionality for MixedModels.jl implemented in Makie

Scalable Implementation of generalized mixed models using GDS files in Phenome-Wide Association Studies

Mixed Models With R Workshop ⭐ 8

This is the companion slides, data, and RStudio project for a workshop on mixed models.

Bayesian Pape ⭐ 7

Introduction to rstanarm

📈🌱 Mixed Models for Agriculture in R

Rsb R Stats Biology ⭐ 6

Second year of the workshop series on biological statistics in R at RSB, ANU.

Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.

This package is provides a mixture model based approach for deep learning.

Mixedmodelsextras.jl ⭐ 6

Extra non essential functionality for MixedModels.jl

Lmmsolver ⭐ 5

See https://biometris.github.io/LMMsolver for a full description

Replicatebe.jl ⭐ 5

Mixed model solution for replicate designed bioequivalence study.

Stat Tests ⭐ 5

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

Related Searches

R Mixed Models (33)

Statistics Mixed Models (12)

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