Topic: mixed-models Goto Github
Some thing interesting about mixed-models
Some thing interesting about mixed-models
mixed-models,Code for the paper: Mixed Models with Multiple Instance Learning
Organization: aih-sgml
Home Page: https://arxiv.org/abs/2311.02455
mixed-models,Formulas for mixed-effects models in Python
Organization: bambinos
Home Page: https://bambinos.github.io/formulae/
mixed-models,multinomial random effects
User: bdilday
mixed-models,asremlPlus is an R package that augments the use of 'ASReml-R' and 'ASReml4-R' in fitting mixed models
User: briencj
mixed-models,CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Organization: cran-task-views
Home Page: https://CRAN.R-project.org/view=MixedModels
mixed-models,Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
User: dominiquemakowski
Home Page: https://dominiquemakowski.github.io/CognitiveModels/
mixed-models,GLMMs with adaptive Gaussian quadrature
User: drizopoulos
Home Page: https://drizopoulos.github.io/GLMMadaptive/
mixed-models,Extended Joint Models for Longitudinal and Survival Data
User: drizopoulos
Home Page: https://drizopoulos.github.io/JMbayes2/
mixed-models,:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Organization: easystats
Home Page: https://easystats.github.io/performance/
mixed-models,All the convenience of lme4 in python
User: ejolly
Home Page: http://eshinjolly.com/pymer4
mixed-models,Zhou & Stephens (2014) GEMMA multivariate linear mixed model
User: fboehm
mixed-models,Bayesian estimation of the finishing skill of football players
User: huffyhenry
Home Page: https://statsbomb.com/2017/07/quantifying-finishing-skill/
mixed-models,Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
User: jr-leary7
mixed-models,The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
Organization: juliamixedmodels
Home Page: https://embraceuncertaintybook.com/
mixed-models,A Julia package for fitting (statistical) mixed-effects models
Organization: juliastats
Home Page: http://juliastats.org/MixedModels.jl/stable
mixed-models,Code used to carry out parameter estimation, correlation estimation, type 1 error analysis, and power analysis for our "Pseudoreplication in Single-Cell" study
User: kdzimm
mixed-models,Documents that go into methodological detail regarding various statistical procedures.
User: m-clark
Home Page: https://m-clark.github.io/documents
mixed-models,Functions for using mgcv for mixed models. 📈
User: m-clark
Home Page: https://m-clark.github.io/gammit/
mixed-models,A workshop on using generalized additive models and the mgcv package.
User: m-clark
mixed-models,Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
User: m-clark
mixed-models,Covers the basics of mixed models, mostly using @lme4
User: m-clark
Home Page: https://m-clark.github.io/mixed-models-with-R/
mixed-models,This is the companion slides, data, and RStudio project for a workshop on mixed models.
User: m-clark
mixed-models,Workshop on using Mixed Models with R
User: m-clark
mixed-models,An R package for extracting results from mixed models that are easy to use and viable for presentation.
User: m-clark
Home Page: http://m-clark.github.io/mixedup
mixed-models,By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
User: m-clark
Home Page: https://m-clark.github.io/models-by-example/
mixed-models,Demonstration of alternatives to lme4
User: m-clark
mixed-models,A quick reference for how to run many models in R.
User: m-clark
Home Page: https://m-clark.github.io/R-models/
mixed-models,👓 Functions related to R visualizations
User: m-clark
Home Page: https://m-clark.github.io/visibly
mixed-models,「データ解析のための統計モデリング入門」のJulia版Jupyter Notebook
User: matsueushi
Home Page: http://hosho.ees.hokudai.ac.jp/~kubo/ce/IwanamiBook.html
mixed-models,Lesson files for Hierarchical Linear Models for Psychologists.
User: mattansb
mixed-models,🎓 Tidy multilevel modeling tools for academics
User: mkearney
mixed-models,A Python package for unsupervised mixed datatypes clustering
User: monk1337
mixed-models,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:
Organization: mouse-imaging-centre
Home Page: https://mouse-imaging-centre.github.io/RMINC
mixed-models,Gene-level general linear mixed model
User: myles-lewis
Home Page: https://myles-lewis.github.io/glmmSeq/
mixed-models,An R package for experimental psychologists
Organization: neuropsychology
Home Page: https://neuropsychology.github.io/psycho.R/
mixed-models,Material for a workshop on Bayesian stats with R
User: oliviergimenez
Home Page: https://oliviergimenez.github.io/bayesian-stats-with-R/
mixed-models,RCall support for MixedModels.jl and lme4
User: palday
mixed-models,Plotting functionality for MixedModels.jl implemented in Makie
User: palday
mixed-models,Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
User: pharmcat
Home Page: http://metidajl.org
mixed-models,A random-forest-based approach for imputing clustered incomplete data
User: randel
mixed-models,Simulation tools for Mixed Models
Organization: repsychling
Home Page: https://repsychling.github.io/MixedModelsSim.jl/stable/
mixed-models,Notebooks for SMLP2021
Organization: repsychling
Home Page: https://repsychling.github.io/SMLP2021/
mixed-models,:chart_with_upwards_trend::seedling: Mixed Models for Agriculture in R
User: schmidtpaul
Home Page: https://schmidtpaul.github.io/MMFAIR/
mixed-models,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.
User: strengejacke
Home Page: https://strengejacke.github.io/mixed-models-snippets/overview_modelling_packages.html
mixed-models,Effect size measures and significance tests
User: strengejacke
Home Page: https://strengejacke.github.io/sjstats
mixed-models,This package is provides a mixture model based approach for deep learning.
User: suren-rathnayake
mixed-models,Second year of the workshop series on biological statistics in R at RSB, ANU.
User: timotheenivalis
mixed-models,Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Organization: unfoldtoolbox
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