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 1231- Language:R 397
- Language:R 372
- Language:R 206
psychbruce / bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Language:R 152m-clark / mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
Language:R 120Pakillo / LM-GLM-GLMM-intro
A unified framework for data analysis with GLM/GLMM in R
Language:R 109rpsychologist / powerlmm
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
Language:HTML 96- Language:R 84
- Language:TeX 80
nicholasjclark / mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting
Language:R 79- Language:R 77
oliviergimenez / Bayesian_Workshop
Material for a Bayesian statistics workshop
Language:R 37mikewlcheung / metasem
metaSEM package
Language:HTML 28simongrund1 / mitml
Tools for multiple imputation in multilevel modeling
Language:R 27cran-task-views / MixedModels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Language:R 25Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
Language:HTML 25📈 Useful notes and personal collections on statistics.
Language:R 21AhmedYahyaE / 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 17- Language:R 17
florale / multilevelcoda
multilevelcoda R package for Bayesian compositional multilevel modelling
Language:R 11- Language:R 10
petrushev / bayesian-modeling
Case studies with Bayesian methods
Language:Jupyter Notebook 10TIDAL-modelling / TIDAL
R package and Shiny app for modelling longitudinal trajectories
Language:R 10hammouc / 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 9- Language:R 8
Timonwa / react-multilevel-dropdown-menu
React Multilevel Dropdown Menu.
Language:JavaScript 8lnalborczyk / IBSM2023
Workshop - Introduction to Bayesian statistical modelling
Language:HTML 7- Language:R 5
- Evo2Sim
charlesrocabert / Evo2Sim
Digital evolution model dedicated to bacterial in silico experimental evolution.
Language:C++ 5 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 5- Language:R 4
hse-scila / mixed-effects-models
Curated list of the sources about multilevel models
stephensrmmartin / ICCier
R Package for modeling ICC variance components and obtaining individual or group-specific reliability estimates.
Language:R 3GreatArcStudios / Non-Linear-Election-Predictions
Predicting Elections Using GAMs and Post-Stratification
nassernajibi / Extreme-Precipitation-Temperature-Scaling-in-California
A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"
Language:R 2
