generalized-linear-mixed-models
There are 0 repository under generalized-linear-mixed-models topic.
m-clark / mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4
Language:R 126drizopoulos / GLMMadaptive
GLMMs with adaptive Gaussian quadrature
Language:R 58emjun / tisane
Specification language for generating Generalized Linear Models (with or without mixed effects) from conceptual models
Language:Python 20- Language:Jupyter Notebook 13
QCBSRworkshops / workshop07
Workshop 7 - General and generalized linear mixed models (LMM and GLMM)
Language:R 9boennecd / pedmod
R package with quasi-Monte Carlo methods to estimate mixed models commonly used for random effect structures from pedigrees.
Language:HTML 5dirmeier / mixed-models
Reference implementations for (generalized) linear mixed models.
Language:Python 4panlanfeng / LatentGaussianMixtureModel.jl
The Julia package for estimating and testing a generalized linear mixed model with normal mixture random effects
Language:Julia 2dteuscher1 / Catcher-Framing
Project for generalized linear models class at BYU. Modeling the probability that a pitch is a strike using generalized additive models and determining catcher framing abilities and umpire influence on the strike zone using generalized linear mixed models.
Language:R 1GidonFrischkorn / Workshop_BayesianStatistics
Materials for a 3 to 4 hour workshop on Bayesian Statistics using the R package `brms`
Language:R 1- Language:R 1
aprabaswara / Risk-Factors-for-Leptospirosis-in-Kenyan-Pastoral-Landscape
A Study of the Risk Factors for Leptospirosis Infection in Kenya.
Language:R 0aritzLizoain / Analyzing-schizophrenia
Analysis of the evolution of prevalence of thought disorders
Language:R 0celebrezze / postfire-recovery-spectral-recovery
This repository contains data, scripts, and figures for the manuscript entitled 'A fast spectral recovery does not necessarily indicate post-fire forest recovery' which compares spectral recovery, topographic and climatic data, and field measurements of post-fire vegetation dynamics in the Blue Mountains, OR. For more information, see the README
Language:HTML 0jlpscampos / Perception-of-Fatigue-and-Sleepiness-linked-to-Irregular-Workloads-in-Civil-Aviation
Case study (consultancy) with the intent to analyze work conditions for civil aviation professionals in order to review labour legislation.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
Marklong7 / Presence-of-Bacteria-After-Drug-Treatments
Drug effective check
Language:Jupyter Notebook 0schefferslab / Basham_et_al_2021
Repository for code and data for Basham et al 2022 (Oceologia, https://doi.org/10.1007/s00442-022-05108-9)
0alpankratov / number_of_medals_predictions_with_GLMM
The aim of the GLMM Project is to build general linear (mixed) models that predicts the total number of medals won by countries. GLMs and GLMMs are examined in the Part 1 and Part 2 respectively. Refer to memos in pdf files for details.
Language:Rastridgcn / Victim-vs-Perpetrator
Moral Anger and Disgust: Recipient vs. Initiator Focus in Moral Transgressions
Language:HTMLCyanjiner / peer-tutoring-program
This study used the data collected from Lehigh University's peer tutoring program which focused on 20 courses involving problem-solving skills over three academic years, 2003-04 through 2005-06. An OLS model and generalized liner mixed-effects models were used to measure effect of participation in tutoring in terms of hours spent getting tutored on exogenous final grade on subset of sample. Exploratory data analysis was performed to examine correlations between students' academic performance and other attributes including previous term GPA, high school rank, SAT scores, and demographic characteristics.
Language:Rlundquist-ecology-lab / urban_aquatic_insects
Urban insect data collected from Binghamton, NY in 2014 and 2015 including R code examples.
Language:R
