Using stochastic block models for topic modeling

Toolbox to estimate, automatically regularize, and select between Generalized Additive Mixed Models and their extensions in Python

Physalia workshop on Generalized Linear Models by Bert van der Veen

[GitHub-only] R package that downloads and setups a compiled code environment for macOS

R package to make a data frame messy and untidy.

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Resources associated with "Applied Multivariate Statistics in R" pressbook

WebAssembly powered code blocks and exercises for both the R and Python languages in Quarto documents

An R package for estimating generalized additive mixed models with latent variables

gamlss2: GAMLSS Infrastructure for Flexible Distributional Regression

Smoothing for Covariance matrix Modelling

Spatially Correlated, Approximate Modelling of Point patterns in R

An R interface for the Liesel probabilistic programming framework

A probabilistic programming framework

GLLVM Workshop material for the BES 2020 Festival of Ecology

Messing with missing MVN data

An R implementation of a hybrid genetic - harmony search algorithm for feature selection in GAMs. Some test cases are also included.

Fit step selection functions with non-linear and random effects in mgcv.

Files for Stefano's Honours Project on modelling lake ice phenology using event history models

ProbCast: an R Package for Flexible Probabilistic Forecasting

A guide for contributing to R core development

Fit stochastic differential equation models with time-varying parameters

Estimate growth rate advantage of SARS-CoV2 variants of concern based on international genomic surveillance data and multinomial spline fits

Fast algorithms for fitting topic models and non-negative matrix factorizations to count data.

Fin whale analysis for LEMUR paper