Articles published in the September 2026 issue
Editorial
Emi Tanaka 4
hdtg: An R Package for High-Dimensional Truncated Normal Simulation
Zhenyu Zhang, Andrew Chin, Akihiko Nishimura and Marc A. Suchard 5
ODRF: An R Package for Oblique Decision Tree and Its Random Forest
Yu Liu and Yingcun Xia 15
SelectionBias: An R Package for Bounding Selection Bias in Causal Estimands
Stina Zetterstrom and Ingeborg Waernbaum 37
psvmSDR: An R Package for a Unified Algorithm for Sufficient Dimension Reduction via Principal Machines
Jungmin Shin, Seung Jun Shin and Andreas Artemiou 55
DRIP: An R Package for Jump Regression and Image Analysis
Yicheng Kang 72
rSRD: An R Package for the Sum of Ranking Differences Statistical Procedure
Balázs R. Sziklai, Attila Gere, Károly Héberger and Jochen Staudacher 97
echos: An R Package for Automatic Time Series Forecasting using Echo State Networks
Alexander Häußer 120
ldmppr: Location Dependent Marked Point Processes in R
Lane Drew and Andee Kaplan 144
mtarm: Bayesian Analysis of Multivariate Threshold Autoregressive Models in R
Luis Hernando Vanegas, Sergio Alejandro Calderón and Luz Marina Rondón 167
goSorensen: A Bioconductor R-Package to Detect Equivalence Between Gene Lists
Pablo Flores, Jordi Ocaña, Alex Sánchez and Miquel Salicrú 201
MSTest: An R Package for Testing Markov Switching Models
Gabriel Rodriguez-Rondon and Jean-Marie Dufour 219
admix: An R Package for Estimation, Test and Clustering in Admixture Models
Xavier Milhaud, Denys Pommeret, Yahia Salhi and Pierre Vandekerkhove 242
VARshrink: An R Package for Shrinkage Estimation of High-Dimensional Vector Autoregressive Models
Namgil Lee and Sung-Ho Kim 269
sugarglider: Create Glyph-Maps of Spatiotemporal Data
Maliny Po, S. Nathan Yang, H. Sherry Zhang and Dianne Cook 286
iAR: An R Package for Autoregressive Modeling Irregularly Observed Time Series
Felipe Elorrieta, Susana Eyheramendy, Wilfredo Palma and Cesar Ojeda 305
R Package dbrobust: Robust Distance-Based Visualization and Analysis of Mixed-Type Data
Eva Boj, Aurea Grané and Marcos Álvarez 327
xplainfi: Feature Importance and Statistical Inference for Machine Learning in R
Lukas Burk, Fiona Katharina Meinzer, Giuseppe Casalicchio, Marvin N. Wright and Bernd Bischl 360
LBBNN: An R Package for Sparse and Explainable Bayesian Deep Learning with Latent Binary Bayesian Neural Networks
Lars Skaaret-Lund, Eirik Høyheim and Aliaksandr Hubin 381
demofit: A Unified Framework for Mortality Modelling Integrating Parametric Laws and Stochastic Models
Jackie Li 402
metafrontier: Unified Metafrontier Analysis for Efficiency and Productivity in R
Erik Enstad 418
Bioconductor Notes, September 2026
Maria Doyle and Bioconductor Core Developer Team 441