🌎 An R package for spatial and spatiotemporal GLMMs with TMB
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Updated
Sep 20, 2024 - R
🌎 An R package for spatial and spatiotemporal GLMMs with TMB
Diagnostics for HierArchical Regession Models
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Generalised joint models of survival and multivariate longitudinal data
A unified framework for data analysis with GLM/GLMM in R
Repository containing the computational code for Single Nucleus RNA Sequencing Demonstrates an Autosomal Dominant Alzheimer’s Disease Profile and Possible Mechanism of Disease Protection manuscript by Almeida et al.
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
A variable selection method for generalize linear mixed-effect models
Material for a workshop on Bayesian stats with R
Gene-level general linear mixed model
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.
Implementing a Generalized Linear Mixed Effects Model (GLMM) on a Before-After-Control-Impact (BACI) study design related to coastal dune restoration
Analysis of the evolution of prevalence of thought disorders
R code & data for the analysis of the environmental impact of a "run-of-river" hydropower plant on the riverine ecosystem of the Saldur stream, a glacier-fed stream located in the Italian Central-Eastern Alps.
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