💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
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Updated
Jun 9, 2024 - R
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
A Julia package for fitting (statistical) mixed-effects models
Covers the basics of mixed models, mostly using @lme4
An R package for experimental psychologists
Material for a workshop on Bayesian stats with R
Effect size measures and significance tests
Extended Joint Models for Longitudinal and Survival Data
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…
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
A workshop on using generalized additive models and the mgcv package.
Formulas for mixed-effects models in Python
A random-forest-based approach for imputing clustered incomplete data
GLMMs with adaptive Gaussian quadrature
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.
Bayesian estimation of the finishing skill of football players
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