Projects in Awesome Lists tagged with additive-models

https://github.com/m-clark/Miscellaneous-R-Code

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 **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 14 Mar 2025

https://github.com/m-clark/miscellaneous-r-code

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 **Superseded by the models-by-example repo**.

additive-models bayesian em factor-analysis gaussian-processes irt jags julia machine-learning matlab mixed-models mixture-model ordinal-regression pca probit python r stan survival-analysis zip

Last synced: 13 Apr 2025

https://github.com/adibender/pammtools

Piece-wise exponential Additive Mixed Modeling tools

additive-models pamm pammtools piece-wise-exponential r rstats survival-analysis

Last synced: 04 Apr 2025

https://github.com/m-clark/generalized-additive-models-workshop-2019

A workshop on using generalized additive models and the mgcv package.

additive-models generalized-additive-models mgcv mixed-models nonlinear penalized-regression penalized-spline splines

Last synced: 30 Apr 2025

https://github.com/m-clark/r-models

A quick reference for how to run many models in R.

additive-models bayesian-models brms catwalk cluster-analysis lme4 machine-learning mgcv mixed-models mixture-model pca psych r regularization sem spatial-analysis statistical-models statistics survival-analysis time-series

Last synced: 30 Apr 2025

https://github.com/m-clark/docs

Documents that go into methodological detail regarding various statistical procedures.

additive-models bayesian-methods mixed-models r stan statistical-procedures structural-equation-modeling

Last synced: 30 Apr 2025

https://github.com/epistasislab/pager

PAGER is an efficient genotype encoding strategy designed to improve the detection of non-additive genetic variation in complex trait association studies. PAGER dynamically encodes genetic variants by normalizing mean phenotypic differences between genotype classes.

additive-models dominance-analysis encoding epistasis genetic-inheritance genetic-interactions genetics genotype-to-phenotype gwas heterosis non-additive-effects qtl-analysis