Package: FoRecoML Type: Package Title: Forecast Reconciliation with Machine Learning Version: 1.1.1.9000 Authors@R: c( person( given = "Daniele", family = "Girolimetto", role = c("aut", "cre"), email = "daniele.girolimetto@unipd.it", comment = c(ORCID = "0000-0001-9387-1232") ), person( given = "Yangzhuoran Fin", family = "Yang", role = c("aut"), email = "yangyangzhuoran@gmail.com", comment = c(ORCID = "0000-0002-1232-8017") ), person( given = "Jeroen", family = "Rombouts", role = c("aut"), email = "rombouts@essec.edu", comment = c(ORCID = "0000-0003-2255-4875") ), person( given = "Ines", family = "Wilms", role = c("aut"), email = "i.wilms@maastrichtuniversity.nl", comment = c(ORCID = "0000-0003-3269-4601") ) ) Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 ), temporal, and cross-temporal (Rombouts et al. 2024 ) frameworks. Depends: R (>= 3.4), Matrix, FoReco Imports: stats, cli, methods, randomForest, lightgbm, xgboost, mlr3, mlr3tuning, mlr3learners, paradox License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.3.3 Roxygen: list(markdown = TRUE) URL: https://github.com/danigiro/FoRecoML, https://danigiro.github.io/FoRecoML/ BugReports: https://github.com/danigiro/FoRecoML/issues Suggests: testthat (>= 3.0.0), ranger Config/testthat/edition: 3 Config/pak/sysreqs: make Repository: https://danigiro.r-universe.dev Date/Publication: 2026-07-13 07:23:33 UTC RemoteUrl: https://github.com/danigiro/forecoml RemoteRef: HEAD RemoteSha: 4829fe92ac26d12ea26b40787721405b3933c310 NeedsCompilation: no Packaged: 2026-10-11 09:39:40 UTC; root Author: Daniele Girolimetto [aut, cre] (ORCID: ), Yangzhuoran Fin Yang [aut] (ORCID: ), Jeroen Rombouts [aut] (ORCID: ), Ines Wilms [aut] (ORCID: ) Maintainer: Daniele Girolimetto