multilevel-models
There are 92 repositories under multilevel-models topic.
paul-buerkner/brms
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
yrosseel/lavaan
an R package for structural equation modeling and more
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
wviechtb/metafor
A meta-analysis package for R
psychbruce/bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
m-clark/mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
nicholasjclark/mvgam
{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting
Pakillo/LM-GLM-GLMM-intro
A unified framework for data analysis with GLM/GLMM in R
rpsychologist/powerlmm
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
ecmerkle/blavaan
An R package for Bayesian structural equation modeling
OpenMx/OpenMx
Repository for the OpenMx Structural Equation Modeling package
GDSL-UL/san
Spatial Modelling for Data Scientists
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
oliviergimenez/Bayesian_Workshop
Material for a Bayesian statistics workshop
nicholasjclark/physalia-forecasting-course
Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}
mikewlcheung/metasem
metaSEM package
simongrund1/mitml
Tools for multiple imputation in multilevel modeling
cran-task-views/MixedModels
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
psychbruce/stats
📈 Useful notes and personal collections on statistics.
mkearney/tidymlm
🎓 Tidy multilevel modeling tools for academics
florale/multilevelcoda
multilevelcoda R package for Bayesian multilevel compositional data analysis
Timonwa/react-multilevel-dropdown-menu
React Multilevel Dropdown Menu.
hammouc/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
kim0sun/glca
An R Package for Multiple-Group Latent Class Analysis
petrushev/bayesian-modeling
Case studies with Bayesian methods
TIDAL-modelling/TIDAL
TIDAL: Tool to Implement Developmental Analyses of Longitudinal data. An R Shiny app.
dataknit/tidymrp
Tidy multilevel regression and poststratification (MRP)
lnalborczyk/IBSM2023
Workshop - Introduction to Bayesian statistical modelling
mcdonohue/rstanarm
rstanarm R package for Bayesian applied regression modeling
alexanderrobitzsch/LAM
Some Latent Variable Models
charlesrocabert/Evo2Sim
Digital evolution model dedicated to bacterial in silico experimental evolution.
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
hse-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
nassernajibi/extreme-precipitation-scaling-ARs-California
A repo for "Extreme Precipitation-Temperature Scaling in California: The Role of Atmospheric Rivers"
stephensrmmartin/ICCier
R Package for modeling ICC variance components and obtaining individual or group-specific reliability estimates.