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bayesRecon  

Probabilistic Reconciliation via Conditioning
View on CRAN: Click here


Download and install bayesRecon package within the R console
Install from CRAN:
install.packages("bayesRecon")

Install from Github:
library("remotes")
install_github("cran/bayesRecon")

Install by package version:
library("remotes")
install_version("bayesRecon", "0.3.2")



Attach the package and use:
library("bayesRecon")
Maintained by
Dario Azzimonti
[Scholar Profile | Author Map]
First Published: 2023-05-26
Latest Update: 2023-12-19
Description:
Provides methods for probabilistic reconciliation of hierarchical forecasts of time series. The available methods include analytical Gaussian reconciliation (Corani et al., 2021) , MCMC reconciliation of count time series (Corani et al., 2022) , Bottom-Up Importance Sampling (Zambon et al., 2022) .
How to cite:
Dario Azzimonti (2023). bayesRecon: Probabilistic Reconciliation via Conditioning. R package version 0.3.2, https://cran.r-project.org/web/packages/bayesRecon. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1.0 (2023-05-26 20:50), 0.1.1 (2023-06-10 01:10), 0.1.2 (2023-08-24 09:50), 0.2.0 (2023-12-19 15:00), 0.3.0 (2024-05-30 01:20), 0.3.1 (2024-08-28 22:10)
Other packages that cited bayesRecon R package
View bayesRecon citation profile
Other R packages that bayesRecon depends, imports, suggests or enhances
Complete documentation for bayesRecon
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