GPmp: the Gaussian process micro package
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Updated
Jul 12, 2026 - Python
GPmp: the Gaussian process micro package
SDS course assignments
GPU-accelerated statistical framework for SNP heritability estimation and genetic variance decomposition with matrix-free REML.
R code for bi-trait enviromics data simulation and mixed-model inference, contrasting experimental trials (EXP) and commercial stands (CST) in reproducible methodological studies.
This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.
GLS with learned correlation and variance structures for Python — equivalent of R's nlme::gls()
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
Analysing Age-Specific Death Rates with MixedModels.jl
Two-stage CatBoost + REML random effects for high-cardinality group factors in insurance pricing — Bühlmann-Straub credibility, ICC diagnostics
Complete reproduction of 'Generation-Updated Orthogonal Epistatic Kernels for Cross-Generation Genomic Prediction' - NOIA encoding, multi-kernel AI-REML, forward simulation, ablation study. 137 tests, 100% coverage.
General-purpose linear mixed model solver
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