opera: Online Prediction by Expert Aggregation

Misc methods to form online predictions, for regression-oriented time-series, by combining a finite set of forecasts provided by the user. See Cesa-Bianchi and Lugosi (2006) <doi:10.1017/CBO9780511546921> for an overview.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: Rcpp, htmltools, rAmCharts, htmlwidgets, pipeR, alabama, methods, Rdpack
LinkingTo: Rcpp, RcppEigen
Suggests: quantreg, quadprog, RColorBrewer, testthat, splines, caret, mgcv, survival, knitr, gbm, rmarkdown, magrittr
Published: 2021-12-06
Author: Pierre Gaillard [cre, aut], Yannig Goude [aut], Laurent Plagne [ctb], Thibaut Dubois [ctb], Benoit Thieurmel [ctb]
Maintainer: Pierre Gaillard <pierre at gaillard.me>
BugReports: https://github.com/dralliag/opera/issues
License: LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL]
Copyright: EDF R&D 2012-2015
URL: http://pierre.gaillard.me/opera.html
NeedsCompilation: yes
Materials: README NEWS
In views: TimeSeries
CRAN checks: opera results

Documentation:

Reference manual: opera.pdf
Vignettes: 'opera' package
"Hierarchical Forecasting with 'opera'

Downloads:

Package source: opera_1.2.0.tar.gz
Windows binaries: r-devel: opera_1.2.0.zip, r-release: opera_1.2.0.zip, r-oldrel: opera_1.2.0.zip
macOS binaries: r-release (arm64): opera_1.2.0.tgz, r-oldrel (arm64): opera_1.2.0.tgz, r-release (x86_64): opera_1.2.0.tgz
Old sources: opera archive

Reverse dependencies:

Reverse imports: Bodi

Linking:

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