The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

profoc: Probabilistic Forecast Combination Using CRPS Learning

Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <doi:10.48550/arXiv.2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <doi:10.48550/arXiv.1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.

Version: 1.3.3
Depends: R (≥ 4.3.0)
Imports: Rcpp (≥ 1.0.5), Matrix, abind, methods, lifecycle, generics, tibble, ggplot2
LinkingTo: Rcpp, RcppArmadillo (≥ 0.10.7.5.0), RcppProgress, splines2 (≥ 0.4.4), rcpptimer (≥ 1.2.0)
Suggests: testthat (≥ 3.0.0), gamlss.dist, knitr, rmarkdown, dplyr, rcpptimer (≥ 1.2.0)
Published: 2024-09-21
DOI: 10.32614/CRAN.package.profoc
Author: Jonathan Berrisch ORCID iD [aut, cre], Florian Ziel ORCID iD [aut]
Maintainer: Jonathan Berrisch <Jonathan at Berrisch.biz>
BugReports: https://github.com/BerriJ/profoc/issues
License: GPL (≥ 3)
URL: https://profoc.berrisch.biz, https://github.com/BerriJ/profoc
NeedsCompilation: yes
Language: en-US
Citation: profoc citation info
Materials: README NEWS
In views: TimeSeries
CRAN checks: profoc results

Documentation:

Reference manual: profoc.pdf
Vignettes: Using the C++ Interface (source, R code)
Production (source, R code)
Introduction (source, R code)

Downloads:

Package source: profoc_1.3.3.tar.gz
Windows binaries: r-devel: profoc_1.3.3.zip, r-release: profoc_1.3.3.zip, r-oldrel: profoc_1.3.3.zip
macOS binaries: r-release (arm64): profoc_1.3.3.tgz, r-oldrel (arm64): profoc_1.3.3.tgz, r-release (x86_64): profoc_1.3.3.tgz, r-oldrel (x86_64): profoc_1.3.3.tgz
Old sources: profoc archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=profoc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.