There are 1 repository under linear-mixed-models topic.
Generalized linear mixed-effect model in Python
Covers the basics of mixed models, mostly using @lme4
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
remef: Remove Partial Effects
Code and Tutorials for Running the MArginal ePIstasis Test (MAPIT)
iMap4 - Spatial mapping of eye movement data (e.g., fixation map) using Linear Mixed Models
Broken Stick Model for Irregular Longitudinal Data
Introduction to rstanarm
Julia implementation of Factored Spectrally Transformed Linear Mixed Models
R package for mixed-effects REML incorporating Generalized Inverses
Reference implementations for (generalized) linear mixed models.
Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.
Curated list of the sources about multilevel models
unfold+mixed models = unmixed | alpha version!
Official implementation of Capturing Between-Tasks Covariance and Similarities Using Multivariate Linear Mixed Models [EJS 2020]
SAMUEL-ROSA, A. et al. Do more detailed environmental covariates deliver more accurate soil maps? Geoderma, v. 243–244, p. 214–227, maio 2015.
Analyses for the BEAM study on the effect of butyrate on blood pressure
Materials associated with the webinar, "Higher Learning: Hierarchical Linear Models"
Data Analysis for "All-or-none neural mechanisms underlying visual categorisation: evidence of the N170".
Semantic model of LMM analysis
[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station
[Done] Randomized clinical trial of Plasma solution A vs. Normal saline for fluid resuscitation in post-cardiac arrest patients
This repository contains the code and reports for the statistical analysis of BIXI Montreal's bike-sharing system data. The analysis focuses on understanding the factors that influence trip duration, revenue, and overall usage based on the 2021 season's data.
The 'Semiparametric regression' course at the Institute of Mathematics (University of Wrocław).
QPCRinR is a powerful web app for the analysis of RT-qPCR data with Linear Mixed Models. It is designed for testing multiple factors and combine experiments in a simple and interactive manner.
Conduct one-way and multi-way anova in Julia with MixedModels.jl
This repo is for linear models and linear mixed models using Python.
Version controlled, editable source for the genetic group 'How To': Wolak & Reid (2017) Journal of Animal Ecology, Appendix S6