Generalized linear mixed-effect model in Python
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Updated
Aug 17, 2018 - Jupyter Notebook
Generalized linear mixed-effect model in Python
A unified framework for data analysis with GLM/GLMM in R
🌎 An R package for spatial and spatiotemporal GLMMs with TMB
Diagnostics for HierArchical Regession Models
Material for a workshop on Bayesian stats with R
Gene-level general linear mixed model
The material for a course on Statistics for ecologists I teach every year to Master students.
A tutorial on generalized linear mixed models in R
This repository collects various small code snippets or short instructions on how to use or define specific mixed models, mostly with packages lme4 and glmmTMB.
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Second year of the workshop series on biological statistics in R at RSB, ANU.
Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
My scripts from BL5233 lectures and practicals.
A workshop Introducing R and GLMs at York University
An R package designed for generalized linear mixed model inference in genomic sequencing studies
In this repository you can find the code to deal with statistical problems using R. You will find GLM, GLMM
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