ensembleBMA: Probabilistic Forecasting using Ensembles and Bayesian Model Averaging

Bayesian Model Averaging to create probabilistic forecasts from ensemble forecasts and weather observations <https://stat.uw.edu/sites/default/files/files/reports/2007/tr516.pdf>.

Version: 5.1.7
Depends: R (≥ 2.10), chron
Suggests: fields, maps
Published: 2021-11-13
Author: Chris Fraley, Adrian E. Raftery, J. McLean Sloughter, Tilmann Gneiting, University of Washington.
Maintainer: Chris Fraley <fraley at u.washington.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
In views: Bayesian, TimeSeries
CRAN checks: ensembleBMA results

Documentation:

Reference manual: ensembleBMA.pdf

Downloads:

Package source: ensembleBMA_5.1.7.tar.gz
Windows binaries: r-devel: ensembleBMA_5.1.7.zip, r-release: ensembleBMA_5.1.7.zip, r-oldrel: ensembleBMA_5.1.7.zip
macOS binaries: r-release (arm64): ensembleBMA_5.1.7.tgz, r-release (x86_64): ensembleBMA_5.1.7.tgz, r-oldrel: ensembleBMA_5.1.7.tgz
Old sources: ensembleBMA archive

Reverse dependencies:

Reverse depends: ensembleMOS
Reverse suggests: ensemblepp

Linking:

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