ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

A document introducing generalized additive models.📈

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

Regression Spline Functions and Classes

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

R Package: Regularized Principal Component Analysis for Spatial Data

R-script for the publication Testosterone and specific symptoms of depression: Evidence from NHANES 2011–2016, https://doi.org/10.1016/j.cpnec.2021.100044

See https://biometris.github.io/LMMsolver for a full description

Computational Methods for Numerical Analysis

Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning

R package: Linear Splines with Convenient Parameterizations

Timeseries analysis of -omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. The obtained hits can be clustered based on the spline shape and then used for an over-representation (ORA) analysis.The R package SplineOmics streamlines this whole process and generates reports.

Regularised B-splines projected Gaussian Process priors

R Code for B-Spline Hazard Regression in Survival Analysis

{ffc} R 📦 to fit dynamic functional time series models and produce functional forecasts

Orthonormal Basis Selection using Machine Learning. https://ranibasna.github.io/ddk/

Repo for the famous SA Heart Disease dataset. We demonstrate the importance of considering non-linear terms, and using splines in R.

R and C++ code for performing posterior inference for Bayesian Conditional Transformation models illustrated for three different applications.

Negative Binomial Additive Model for RNASeq Data

we fit various splines to model the COVID-19 daily positive case numbers in Florida from 3/3/20 – 3/7/21.