variance-components

Covers the basics of mixed models, mostly using @lme4

An R package for extracting results from mixed models that are easy to use and viable for presentation.

Statistical Quantification of Individual Differences: an simulation tool for understanding multi-level phenotypic data in linear mixed models

Workshop on using Mixed Models with R

Code and Tutorials for Running the MArginal ePIstasis Test (MAPIT)

Functions for using mgcv for mixed models. 📈

The multivariate MArginal ePIstasis Test

Simulation of LSVSE on line and plane fitting

MM algorithm for selecting variance components via penalization

A statistical framework for whole-genome estimation, selection, and prediction at biobank scale with GPU acceleration

R package: variance-component score tests for zero-inflated count outcomes, generalizing SKAT (Genetic Epidemiology 2019)

公開データで子羊出生体重の家族階層、分散成分、父羊外挿を評価 — Family hierarchy, variance components, and new-sire prediction for lamb birthweight using public data

R package that validates LLM pipelines like a laboratory measurement procedure: gauge R&R precision study, agreement and bias against a reference, Plackett-Burman robustness screening, Westgard control charts and a validation report tied to context of use and risk.