Package: bayesRecon
Type: Package
Date: 2023-12-19
Title: Probabilistic Reconciliation via Conditioning
Version: 0.2.0
Authors@R: c(person(given = "Dario",
             family = "Azzimonti",
             role = c("aut","cre"),
             email = "dario.azzimonti@gmail.com",
             comment = c(ORCID = "0000-0001-5080-3061")),
      person(given = "Nicolò",
             family = "Rubattu",
             role = c("aut"),
             email = "nicolo.rubattu@idsia.ch",
             comment = c(ORCID = "0000-0002-2703-1005")),
      person(given = "Lorenzo",
             family = "Zambon",
             role = c("aut"),
             email = "lorenzo.zambon@idsia.ch",
             comment = c(ORCID = "0000-0002-8939-993X")),
      person(given = "Giorgio",
             family = "Corani",
             role = c("aut"),
             email = "giorgio.corani@idsia.ch",
             comment = c(ORCID = "0000-0002-1541-8384")))
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>
Description: Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>, MCMC reconciliation of count time series (Corani et al., 2022) <doi:10.48550/arXiv.2207.09322>, Bottom-Up Importance Sampling (Zambon et al., 2022) <doi:10.48550/arXiv.2210.02286>.
License: LGPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats, utils, lpSolve (>= 5.6.18)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Suggests: knitr, rmarkdown, forecast, glarma, scoringRules, testthat
        (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-12-19 13:37:08 UTC; dario.azzimonti
Author: Dario Azzimonti [aut, cre] (<https://orcid.org/0000-0001-5080-3061>),
  Nicolò Rubattu [aut] (<https://orcid.org/0000-0002-2703-1005>),
  Lorenzo Zambon [aut] (<https://orcid.org/0000-0002-8939-993X>),
  Giorgio Corani [aut] (<https://orcid.org/0000-0002-1541-8384>)
Repository: CRAN
Date/Publication: 2023-12-19 14:00:02 UTC
Built: R 4.4.0; ; 2024-04-30 21:40:08 UTC; unix
