Updating Priors

A blog describing some of the work from my PhD.

Circumventing poor mixing in Bayesian model-based clustering

Bayes

Paper: Consensus Clustering for Bayesian Mixture Models

Stephen Coleman

mdir: Bayesian multi-omics clustering

Bayes

This vignette introduces the mdir R package. This package offers software for Bayesian model based clustering and the Multiple Dataset Integration model for multi-omics analysis. It uses the C++17 parallel policies and thus is unavailable on MAC OS and Debian systems when used with the default C++ compilers.

Stephen Coleman

Montreal - BAYSM and ISBA

Bayes

I attended the BAyesian Young Statisticians Meeting (BAYSM) and the International Society for Bayesian Analysis in Montreal in June.

Stephen Coleman

batchmix: Bayesian mixture modelling for multi-batch data

Bayes

My R package, batchmix, finally landed on CRAN. This implements the models described in my paper (Coleman et al. 2022), mixture models aimed at accounting for batch effects.

Stephen Coleman

Clustering count data

Clustering

This vignette explores clustering count data and the impact of some data transforms on this.

Stephen Coleman