💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
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Updated
Jul 11, 2024 - R
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Solves kernel ridge regression within the the mixed model framework. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available.
asremlPlus is an R package that augments the use of 'ASReml-R' and 'ASReml4-R' in fitting mixed models
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Extended Joint Models for Longitudinal and Survival Data
GLMMs with adaptive Gaussian quadrature
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Generalised joint models of survival and multivariate longitudinal data
Effect size measures and significance tests
See https://biometris.github.io/LMMsolver for a full description
An R package for experimental psychologists
The mixed model special agent
This repo contains all the R scripts for the simulations and figures in the semester project "Aggregation as a Simple Alternative to Mixed Models" written by Linus Kühne under the supervision of Dr. Markus Kalisch
How can we get an accurate estimate of carbon stocks across a landscape with minimal ground truth data?
This website is a project for analysis of the Genomic Selection for Drought Tolerance Using Genome Wide GBS and/or DART in Cassava by EMBRAPA Mandioca.
Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Chris Hammill, J…
Gene-level general linear mixed model
SDS course assignments
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.
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