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Search results for r mixed models

29 search results found

Performance ⭐ 918

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

Sjstats ⭐ 174

Statistical Functions for Regression Models

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 Now almost entirely superseded by the models-by-example repo.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

Jmbayes2 ⭐ 61

Extended Joint Models for Longitudinal and Survival Data

Glmmadaptive ⭐ 56

GLMMs with adaptive Gaussian quadrature

👓 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.

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.

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

Asremlplus ⭐ 13

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

🎓 Tidy multilevel modeling tools for academics

Jellyme4.jl ⭐ 12

RCall support for MixedModels.jl and lme4

Documents that go into methodological detail regarding various statistical procedures.

More Mixed Models 2019 ⭐ 11

Demonstration of alternatives to lme4

Functions for using mgcv for mixed models. 📈

multinomial random effects

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

Bayesian Pape ⭐ 7

Introduction to rstanarm

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

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

Lmmsolver ⭐ 5

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

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