Forecasting Hierarchical Time Series Using Information Combination R package icomb version 0.2.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Implements the Information Combination (IComb) approach proposed by Nguyen, Vahid and Wickramasuriya (2025)<https://www.monash.edu/business/ebs/research/publications/ebs/2025/wp11-2025.pdf> for hierarchical forecast reconciliation. The method combines information from base forecasts constructed using different information sets while ensuring coherence. It is implemented using a penalized regression-based framework. Software Depends: R (>= 4.1.0) Imports: cli, distributional, dplyr, fabletools (>= 0.7.0), future.apply, generics, glmnet, progressr, purrr, tsibble, vctrs Suggests: broom, fable, feasts, forecast, future, ggplot2, ggtime, hts, knitr, lubridate, plotly, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr Shanika Wickramasuriya <shanika.wickramasuriya@monash.edu> Comprehensive R Archive Network (CRAN) Shanika Wickramasuriya [aut, cre, cph], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Minh Nguyen [ctb] GPL (>= 3) 2026-05-27 application/tgz https://CRAN.R-project.org/package=icomb doi:10.32614/CRAN.package.icomb en-US