multilevel-models
There are 3 repositories under multilevel-models topic.
paul-buerkner / brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Language:R 1305- Language:R 476
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psychbruce / bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Language:R 176nicholasjclark / mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
Language:R 165m-clark / mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
Language:R 137Pakillo / LM-GLM-GLMM-intro
A unified framework for data analysis with GLM/GLMM in R
Language:R 122rpsychologist / powerlmm
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
Language:HTML 103- Language:R 95
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AhmedYahyaE / laravel-multi-vendor-e-commerce-application
An extensive multi-vendor e-commerce application with endless features and modules and a dedicated API with Passport authentication
Language:CSS 63Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Language:HTML 40oliviergimenez / Bayesian_Workshop
Material for a Bayesian statistics workshop
Language:R 38mikewlcheung / metasem
metaSEM package
Language:HTML 32simongrund1 / mitml
Tools for multiple imputation in multilevel modeling
Language:R 29cran-task-views / MixedModels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Language:R 27📈 Useful notes and personal collections on statistics.
Language:R 23- Language:R 17
florale / multilevelcoda
multilevelcoda R package for Bayesian multilevel compositional data analysis
Language:R 16Timonwa / react-multilevel-dropdown-menu
React Multilevel Dropdown Menu.
Language:JavaScript 13hammouc / Multilevel-Monte-Carlo-with-Importance-Sampling-for-SRNs
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
Language:MATLAB 11- Language:R 10
petrushev / bayesian-modeling
Case studies with Bayesian methods
Language:Jupyter Notebook 10TIDAL-modelling / TIDAL
TIDAL: Tool to Implement Developmental Analyses of Longitudinal data. An R Shiny app.
Language:R 10- Language:R 8
lnalborczyk / IBSM2023
Workshop - Introduction to Bayesian statistical modelling
Language:HTML 7- Language:R 6
- Evo2Sim
charlesrocabert / Evo2Sim
Digital evolution model dedicated to bacterial in silico experimental evolution.
Language:C++ 6 - Language:R 6
seonghobae / kaefa
# kaefa kwangwoon automated exploratory factor analysis for improving research capability to identify unexplained factor structure with complexly cross-classified multilevel structured data in R environment
Language:R 5hse-scila / mixed-effects-models
Curated list of the sources about multilevel models
suyash-chintawar / Solar-Radiation-Prediction
To build multi-level statistical models to forecast solar radiation
Language:Jupyter Notebook 4nassernajibi / extreme-precipitation-scaling-ARs-California
A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"
Language:R 3stephensrmmartin / ICCier
R Package for modeling ICC variance components and obtaining individual or group-specific reliability estimates.
Language:R 3
