Calculate statistical power for longitudinal linear mixed-effects models with dropout. Supports null hypothesis, non-inferiority, and equivalence tests.
-
Updated
Oct 28, 2025 - TypeScript
#
linear-mixed-model
Here are 6 public repositories matching this topic...
JAMMA (Highly-Accelerated Multi-method Mixed-model Association) -- a fast and modern Python and C reimplementation of GEMMA for large-scale GWAS.
python bioinformatics gwas genomics statistical-genetics gemma mixed-models association-study linear-mixed-model
-
Updated
Oct 4, 2026 - Python
A statistical framework for whole-genome estimation, selection, and prediction at biobank scale with GPU acceleration
gwas genomics genetics gpu statistical-genetics variance-components heritability jax reml linear-mixed-model
-
Updated
Sep 10, 2026 - Python
RmvLMM: A Rotated Multivariate Linear Mixed Model for Dual Large-Scale GWAS
-
Updated
May 16, 2026 - R
Robust Sure Independence Screening of Fixed-effects Covariates under Linear Mixed Models using the Minimum Density Power Divergence Estimators with Proxy matrix.
high-dimensional-data feature-selection linear-mixed-models linear-mixed-effects-modelling robustness robust-regression robust-statistics high-dimensional-regression high-dimensional-statistics linear-mixed-effects linear-mixed-model
-
Updated
Oct 3, 2026 - R
Add this topic to your repo
To associate your repository with the linear-mixed-model topic, visit your repo's landing page and select "manage topics."