By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

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

FAST Change Point Detection in R

Nonparametric regression and prediction using the highly adaptive lasso algorithm

Penalized Regression with Second-Generation P-Values

Source files for R package Sieve

Network-Based Regularization for Generalized Linear Models

Biomarker selection in penalized regression models

Raw files for a document providing an overview of mixed models from varying perspectives.

An R package that implements the Hierarchical Feature Regression: a regularized group-shrinkage regression estimator based on supervised hierarchical graphs

Smooth Effects on Response Penalty for CLM

GAUDI: a penalized regression based PRS method designed specifically for admixed individuals

An exploration in how discussion forum data can be used to measure faculty engagement and its effect on student outcomes

An investigation into why on-ground students choose to take online equivalents of their in-person courses

Learning tasks with orthogonal/disjoint supports

Multi-source sparse Tweedie modelling

Two applications of penalized models in statistical modeling

Repo for the paper entitled "Developing Risk Prediction Models using Penalisation within Data that Adheres to Minimum Sample Size Criteria"