mixed-effects-models
There are 0 repository under mixed-effects-models topic.
- Language:Stan 113
drizopoulos / GLMMadaptive
GLMMs with adaptive Gaussian quadrature
Language:R 58- Metida.jl
PharmCat / Metida.jl
Julia package for fitting mixed-effects models with flexible random/repeated covariance structure.
Language:Julia 24 JuliaMixedModels / EmbraceUncertainty
The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
Language:TeX 18DouweHorsthuis / EEG_to_ERP_pipeline_stats_R
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
Language:MATLAB 11immunogenomics / TiRP
code repository for Lagattuta et al. "Repertoire analyses reveal T cell receptor sequence features that influence T cell fate." Nat. Imm. (2022)
Language:Jupyter Notebook 11mingdeyu / GMPE-estimation
GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.
Language:MATLAB 11- Language:R 10
yjunechoe / jlmerclusterperm
Fast cluster-based permutation test for densely-sampled, multi-level time series data
Language:R 10arose13 / GMEM
Generalised Mixed Effects Model. Now any machine learning model can have random effects.
Language:Jupyter Notebook 9- Language:HTML 6
- Amortized-NLME-Models
arrjon / Amortized-NLME-Models
Applying amortizing neural posterior estimation for non-linear mixed effects models
Language:Jupyter Notebook 5 ihmeuw-msca / CorrelatedCounts
Modeling correlated count data
Language:Python 4- TumorGrowthModels
tamas-ferenci / TumorGrowthModels
Simple mixed-effects growth models applied to tumor growth (modeling the effect of treatment and measurement method)
Language:R 4 trent129 / Life-Expectancy-Prediction
Life Expectancy Prediction by Country with supervised learning, mixed effect effect modeling, and clustering.
Language:Jupyter Notebook 4TuoooLiu666 / Applied-Biostatistics-Projects
This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.
Language:HTML 4PeerChristensen / PitchMetaphor_study1
R scripts for analysing data from a language production study with bilinguals
Language:R 3solislemuslab / HighDimMixedModels.jl
Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.
Language:Julia 3- egglaLanguage:R 2
seamusgould / FLIGHT
A lightweight implementation of Dr. Fill
Language:HTML 2cind / Simulated_Clinical_Trials
Power Estimation via Monte Carlo Simulation
Language:R 1CognitiveNeuroLab / Pipeline_EEG_to_ERP_EEGlab_stats_R
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
Language:MATLAB 1ie8701va / ZK-assignment
Explaining postoperative pain after mandibular third molar extraction.
Language:R 1jasa-acs / Bayesian-Semiparametric-Mixed-Effects-Markov-Models-with-Application-to-Vocalization-Syntax
Reproducibility materials for "Bayesian Semiparametric Mixed Effects Markov Models with Application to Vocalization Syntax" by Abhra Sarkar, Jonathan Chabout, Joshua Jones Macopson, Erich D. Jarvis & David B. Dunson
Language:MATLAB 1matthewjlutz / army_ant_scaffolds
This repository contains R and Matlab code and data used in the paper "Individual error correction drives responsive self-assembly of army ant scaffolds." Lutz, et al. PNAS, 2021.
Language:MATLAB 1MicheleDiSabato / statistics-behind-spotify
Is it possible to predict the popularity of a song based on its technical features? Which aspect of a song should an artist focus on to get more visibility? Could record labels or a new up-and-coming artist benefit from these data-driven and data-informed decisions?
Language:R 1- Language:Julia 1
- Language:TeX 1
- Language:Python 1
RePsychLing / SMLP2024
SMLP2024: Advanced methods in frequentist statistics with Julia
Language:TeX 1richfremgen / Hierarchical-Models-Case-Study-I
Applying a Mixed Effects Model to Predict Movie Popularity
shivankurkapoor / molecular-dating
HIV-1 Incidence and Infection Time Estimator
Language:Python 1shrey-gupta / belief-persistence-evis23
This is the supplementary archive for the project: Belief Persistence
Language:Jupyter Notebook 1ucla-biostat-200c-2020spring / ucla-biostat-200c-2020spring.github.io
Website for Biostat 200C (Methods in Biostatistics C)
Language:HTML 1ucla-biostat-200c / 2023spring
Course website for UCLA Biostat 200C - 2023 Spring
Language:HTML 1ericinthehaus / masters-thesis
2024 Master Thesis - UC3M Computational Social Science
Language:R
