💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
-
Updated
Jul 11, 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 **Superseded by the models-by-example repo**.
Covers the basics of mixed models, mostly using @lme4
An R package for experimental psychologists
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.
GLMMs with adaptive Gaussian quadrature
A random-forest-based approach for imputing clustered incomplete data
Gene-level general linear mixed model
CRAN Task View: Mixed, Multilevel, and Hierarchical 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.
Bayesian estimation of the finishing skill of football players
Workshop on using Mixed Models with R
👓 Functions related to R visualizations
Functions for using mgcv for mixed models. 📈
This package is provides a mixture model based approach for deep learning.
Raw files for a document simulating models for longitudinal data (mixed models and growth curve models).
Add a description, image, and links to the mixed-models topic page so that developers can more easily learn about it.
To associate your repository with the mixed-models topic, visit your repo's landing page and select "manage topics."