GPmp: the Gaussian process micro package
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Jul 12, 2026 - Python
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reml
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SDS course assignments
machine-learning random-forest logistic-regression decision-trees decision-tree anova mixed-models general-additive-model regularized-regression dimentionality-reduction reml bootstraping
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Jun 21, 2023 - R
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
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Sep 6, 2026 - Python
GLS with learned correlation and variance structures for Python — equivalent of R's nlme::gls()
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Feb 24, 2026 - Python
This is a paleolimnological analysis using tidypaleo in R. View the Github page to walk through each step of the analysis.
tidyverse limnology ecology isotopes computer-cluster generalized-additive-models stratigraphy z-score metals seabirds reml chlorophyll-a paleolimnology
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Nov 6, 2024 - R
Analysing Age-Specific Death Rates with MixedModels.jl
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Apr 8, 2024 - Julia
R code for bi-trait enviromics data simulation and mixed-model inference, contrasting experimental trials (EXP) and commercial stands (CST) in reproducible methodological studies.
simulation mixed-models quantitative-genetics plant-breeding genotype-by-environment reml enviromics df-reml
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Jun 21, 2026 - R
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
bootstrap model-selection forecasting modelling mortality anova random-walk fixed-effects mixed-models random-effects life-insurance lme4 qqplot mortality-forecasting life-expectancy lmer heteroscedasticity reml lmertest
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Jan 23, 2024 - CSS
Two-stage CatBoost + REML random effects for high-cardinality group factors in insurance pricing — Bühlmann-Straub credibility, ICC diagnostics
python machine-learning insurance pricing multilevel-models mixed-effects actuarial random-effects catboost insurance-pricing reml high-cardinality uk-insurance
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Apr 3, 2026 - Python
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.
python simulation reproducible-research breeding epistasis quantitative-genetics genomic-prediction noia reml gblup
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Apr 7, 2026 - Python
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