Articles

Parsimoniously Fitting Large Multivariate Random Effects in glmmTMB

Maeve McGillycuddy, Gordana Popovic, Benjamin M. Bolker, David I. Warton
Vol. 112, Issue 1
Paper R package (glmmTMB) Supplementary data (pirls_data) Supplementary data (wind_long)

gptools: Scalable Gaussian Process Inference with Stan

Till Hoffmann, Jukka-Pekka Onnela
Vol. 112, Issue 2
Paper Python package (gptools_stan) R package (gptoolsStan) Replication materials

RESI: An R Package for Robust Effect Sizes

Megan Jones, Kaidi Kang, Simon Vandekar
Vol. 112, Issue 3
Paper R package (RESI) R replication code

Split-Apply-Combine with Dynamic Grouping

Mark P. J. van der Loo
Vol. 112, Issue 4
Paper R package (accumulate) R replication code

Stability Selection and Consensus Clustering in R: The R Package sharp

Barbara Bodinier, Sabrina Rodrigues, Maryam Karimi, Sarah Filippi, Julien Chiquet, Marc Chadeau-Hyam
Vol. 112, Issue 5
Paper R package (sharp) R replication code Replication data (e-mtab-11349) Replication data (single_cell_10x_5cl)

TrueSkill Through Time: Reliable Initial Skill Estimates and Historical Comparability with Julia, Python, and R

Gustavo Landfried, Esteban Mocskos
Vol. 112, Issue 6
Paper R package (TrueSkillThroughTime) Replication materials

Learning Permutation Symmetry of a Gaussian Vector with gips in R

Adam Chojecki, Paweł Morgen, Bartosz Kołodziejek
Vol. 112, Issue 7
Paper R package (gips) R replication code R replication code (Section 3)

pyrichlet: A Python Package for Density Estimation and Clustering Using Gaussian Mixture Models

Fidel Selva, Ruth Fuentes-García, María Fernanda Gil-Leyva
Vol. 112, Issue 8
Paper Python package (pyrichlet) Replication materials

BayesMix: Bayesian Mixture Models in C++

Mario Beraha, Bruno Guindani, Matteo Gianella, Alessandra Guglielmi
Vol. 112, Issue 9
Paper Source code (BayesMix) Replication materials