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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: 5.1.8
Depends: R (≥ 2.10), chron
Suggests: fields, maps
Published: 2022-09-02
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_5.1.8.tar.gz
Windows binaries: r-devel: ensembleBMA_5.1.8.zip, r-release: ensembleBMA_5.1.8.zip, r-oldrel: ensembleBMA_5.1.8.zip
macOS binaries: r-release (arm64): ensembleBMA_5.1.8.tgz, r-oldrel (arm64): ensembleBMA_5.1.8.tgz, r-release (x86_64): ensembleBMA_5.1.8.tgz, r-oldrel (x86_64): ensembleBMA_5.1.8.tgz
Old sources: ensembleBMA archive

Reverse dependencies:

Reverse depends: ensembleMOS
Reverse suggests: ensemblepp

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ensembleBMA 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.
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